Triple

T1604573
Position Surface form Disambiguated ID Type / Status
Subject Dan DeVos E34471 entity
Predicate givenName P17 FINISHED
Object Dan
Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
 E182921 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: Dan | Statement: [Dan DeVos, givenName, Dan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan
Context triple: [Dan DeVos, givenName, Dan]
  • A. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • B. Dan
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • C. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • D. DAN
    DAN is a neutron-detecting scientific instrument on NASA's Curiosity rover used to measure subsurface hydrogen and infer the presence of water on Mars.
  • E. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • 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: Dan
Triple: [Dan DeVos, givenName, Dan]
Generated description
Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan
Target entity description: Dan is a male given name commonly used in English-speaking countries, often as a short form of Daniel.
  • A. Dan
    Dan is a biblical figure recognized as one of the twelve sons of Jacob and the traditional ancestor of the Tribe of Dan in the Hebrew Bible.
  • B. Dan
    Dan is the protagonist of Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," a post-scarcity future resident of a reputation-based society centered around a Disney theme park.
  • C. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • D. DAN
    DAN is a neutron-detecting scientific instrument on NASA's Curiosity rover used to measure subsurface hydrogen and infer the presence of water on Mars.
  • E. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9096a165c8190aec1d2ae6bd10e18 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51bcdebc81909520786c560598b6 completed March 8, 2026, 10:38 a.m.
NEDg Description generation batch_69ad52c9e3e8819094a91530ec91541c completed March 8, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69ad5330a9048190bd07e118c09d7eae completed March 8, 2026, 10:45 a.m.
Created at: March 4, 2026, 7:28 p.m.