Triple

T1551437
Position Surface form Disambiguated ID Type / Status
Subject Poor Richard's Almanack E33099 entity
Predicate pseudonymousAuthor P3799 FINISHED
Object Richard Saunders
Richard Saunders is the fictional persona and pseudonym used by Benjamin Franklin as the narrator and supposed author of Poor Richard's Almanack.
E175868 NE FINISHED

How this triple was built (4 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: Richard Saunders | Statement: [Poor Richard's Almanack, pseudonymousAuthor, Richard Saunders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Saunders
Context triple: [Poor Richard's Almanack, pseudonymousAuthor, Richard Saunders]
  • A. Richard Towers
    Richard Towers is a cinematographer known for his work on the film "Doctor X."
  • B. William Saunders
    William Saunders was a prominent 19th-century landscape architect and horticulturist known for designing notable American cemeteries and public grounds.
  • C. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • D. Steven Pemberton
    Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
  • E. Lou Ambers
    Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
  • 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: Richard Saunders
Triple: [Poor Richard's Almanack, pseudonymousAuthor, Richard Saunders]
Generated description
Richard Saunders is the fictional persona and pseudonym used by Benjamin Franklin as the narrator and supposed author of Poor Richard's Almanack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Saunders
Target entity description: Richard Saunders is the fictional persona and pseudonym used by Benjamin Franklin as the narrator and supposed author of Poor Richard's Almanack.
  • A. Richard Towers
    Richard Towers is a cinematographer known for his work on the film "Doctor X."
  • B. William Saunders
    William Saunders was a prominent 19th-century landscape architect and horticulturist known for designing notable American cemeteries and public grounds.
  • C. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • D. Steven Pemberton
    Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
  • E. Lou Ambers
    Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
  • F. None of above. chosen

Provenance (5 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90858d91881909defc85ec7a22ab3 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a504a881909b01fc27e0b879e7 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad31185d6c8190b833943c412d3f96 completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad31d1f9648190b9da156484062608 completed March 8, 2026, 8:22 a.m.
Created at: March 4, 2026, 7:26 p.m.