Triple

T5416637
Position Surface form Disambiguated ID Type / Status
Subject Audubon Medal E121147 entity
Predicate hasRecipient P108 FINISHED
Object Paul Tudor Jones E208793 NE FINISHED

How this triple was built (2 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: Paul Tudor Jones | Statement: [Audubon Medal, hasRecipient, Paul Tudor Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Tudor Jones
Context triple: [Audubon Medal, hasRecipient, Paul Tudor Jones]
  • A. Paul Tudor Jones chosen
    Paul Tudor Jones is an American billionaire hedge fund manager, philanthropist, and founder of Tudor Investment Corporation, known for his macro trading and for predicting the 1987 stock market crash.
  • B. Michael Mauldin
    Michael Mauldin is an American music executive and talent manager known for his influential role in the development of contemporary R&B and hip-hop artists.
  • C. Michael Loren Mauldin
    Michael Loren Mauldin is an American computer scientist and entrepreneur best known as the creator of the Lycos web search engine.
  • D. William Bernstein
    William Bernstein is an American film producer best known as a co-founder of the independent film studio Orion Pictures.
  • E. Howard Marks
    Howard Marks was a Welsh drug smuggler turned author and counterculture icon, best known for his autobiography "Mr Nice" and his larger-than-life persona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bff75881909bdfd2cdf7ff5657 completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aaaaae0819090db7071e9a5847a completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.