Triple

T1887552
Position Surface form Disambiguated ID Type / Status
Subject The Cathedral and the Bazaar E41795 entity
Predicate coinOrPopularize P33055 FINISHED
Object Linus’s Law
Linus’s Law is the open-source software development principle that “given enough eyeballs, all bugs are shallow,” emphasizing the power of many reviewers to quickly find and fix defects.
E210070 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Linus’s Law | Statement: [The Cathedral and the Bazaar, coinOrPopularize, Linus’s Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linus’s Law
Context triple: [The Cathedral and the Bazaar, coinOrPopularize, Linus’s Law]
  • A. Cunningham's Law
    Cunningham's Law is an internet adage stating that the best way to get the right answer online is not to ask a question, but to post the wrong answer.
  • B. Wirth’s law
    Wirth’s law is the observation that software tends to become slower more quickly than hardware becomes faster, often negating the benefits of improved computing performance.
  • C. Kluge's law
    Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
  • D. Postel’s law
    Postel’s law is a design principle in computing and networking that advises systems to be conservative in what they send and liberal in what they accept, promoting robustness and interoperability.
  • E. The Cathedral and the Bazaar
    The Cathedral and the Bazaar is a highly influential essay and book on open-source software development that contrasts centralized, top-down programming models with decentralized, collaborative approaches.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Linus’s Law
Triple: [The Cathedral and the Bazaar, coinOrPopularize, Linus’s Law]
Generated description
Linus’s Law is the open-source software development principle that “given enough eyeballs, all bugs are shallow,” emphasizing the power of many reviewers to quickly find and fix defects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linus’s Law
Target entity description: Linus’s Law is the open-source software development principle that “given enough eyeballs, all bugs are shallow,” emphasizing the power of many reviewers to quickly find and fix defects.
  • A. Cunningham's Law
    Cunningham's Law is an internet adage stating that the best way to get the right answer online is not to ask a question, but to post the wrong answer.
  • B. Wirth’s law
    Wirth’s law is the observation that software tends to become slower more quickly than hardware becomes faster, often negating the benefits of improved computing performance.
  • C. Kluge's law
    Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
  • D. Postel’s law
    Postel’s law is a design principle in computing and networking that advises systems to be conservative in what they send and liberal in what they accept, promoting robustness and interoperability.
  • E. The Cathedral and the Bazaar
    The Cathedral and the Bazaar is a highly influential essay and book on open-source software development that contrasts centralized, top-down programming models with decentralized, collaborative approaches.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coinOrPopularize
Context triple: [The Cathedral and the Bazaar, coinOrPopularize, Linus’s Law]
  • A. coinedIn
    Indicates that something (typically a term, phrase, or name) was first created or introduced at a particular time or in a particular place.
  • B. frequentlyUsedCoin
    Indicates that a particular coin is used often or commonly in transactions or everyday activities.
  • C. coinagePower
    Indicates the authority or capacity of an entity to create, issue, or regulate currency or coinage.
  • D. coinIssuer
    Indicates that an entity issues, mints, or is responsible for the creation and release of a particular coin or currency.
  • E. currencyInitiative
    Indicates an initiative, program, or action specifically related to the development, regulation, promotion, or reform of a currency or monetary system.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb121a3cc81909c60ac65627142d1 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf63863881908efd8010db14b8a8 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69ade06eb0608190992291b9a0d5368c completed March 8, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69ade0d3f77481909cb4c9a57a9fb6a7 completed March 8, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69abafe61bc48190ac9ead027df930e1 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb11bfd2c8190a805372589f73238 completed March 7, 2026, 5:01 a.m.
Created at: March 4, 2026, 7:34 p.m.