Triple

T7602755
Position Surface form Disambiguated ID Type / Status
Subject NCAA Final Four Most Outstanding Player E180024 entity
Predicate firstWinner P11366 FINISHED
Object John Moir
John Moir was a standout college basketball player best known for being the inaugural recipient of the NCAA Final Four Most Outstanding Player award.
E688142 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: John Moir | Statement: [NCAA Final Four Most Outstanding Player, firstWinner, John Moir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Moir
Context triple: [NCAA Final Four Most Outstanding Player, firstWinner, John Moir]
  • A. Duncan Stewart
    Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
  • B. John Mathieson
    John Mathieson is a British cinematographer known for his visually striking work on major films, particularly in collaboration with directors like Ridley Scott and Guy Ritchie.
  • C. Angus Imrie
    Angus Imrie is a British actor known for his work in film, television, and radio, including roles in "The Archers" and "The Kid Who Would Be King."
  • D. James Annan
    James Annan is a British climate scientist and expert in climate modeling and risk analysis, known for his work on climate sensitivity and probabilistic climate projections.
  • E. Andrew McMillan
    Andrew McMillan is a software developer and open-source contributor known for his work on email and groupware technologies, particularly with the Kolab groupware server.
  • 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: John Moir
Triple: [NCAA Final Four Most Outstanding Player, firstWinner, John Moir]
Generated description
John Moir was a standout college basketball player best known for being the inaugural recipient of the NCAA Final Four Most Outstanding Player award.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Moir
Target entity description: John Moir was a standout college basketball player best known for being the inaugural recipient of the NCAA Final Four Most Outstanding Player award.
  • A. Duncan Stewart
    Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
  • B. John Mathieson
    John Mathieson is a British cinematographer known for his visually striking work on major films, particularly in collaboration with directors like Ridley Scott and Guy Ritchie.
  • C. Angus Imrie
    Angus Imrie is a British actor known for his work in film, television, and radio, including roles in "The Archers" and "The Kid Who Would Be King."
  • D. James Annan
    James Annan is a British climate scientist and expert in climate modeling and risk analysis, known for his work on climate sensitivity and probabilistic climate projections.
  • E. Andrew McMillan
    Andrew McMillan is a software developer and open-source contributor known for his work on email and groupware technologies, particularly with the Kolab groupware server.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fa633081909660f653f5b073cd completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d69516a88190912a9574aef3d1f8 completed March 29, 2026, 7:36 a.m.
NEDg Description generation batch_69c8d71a89d08190b578682365b81d2f completed March 29, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_69c8d76f76a881909dab6c0cb8f48b80 completed March 29, 2026, 7:40 a.m.
Created at: March 27, 2026, 3:54 p.m.