Triple

T18364005
Position Surface form Disambiguated ID Type / Status
Subject Jim Loehr E439991 entity
Predicate coAuthorWith P398 FINISHED
Object Tony Schwartz NE NERFINISHED

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: Tony Schwartz | Statement: [Jim Loehr, coAuthorWith, Tony Schwartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Schwartz
Context triple: [Jim Loehr, coAuthorWith, Tony Schwartz]
  • A. Tony Schwartz
    Tony Schwartz is an American journalist and author best known for ghostwriting Donald Trump’s 1987 business memoir "The Art of the Deal."
  • B. Tony Schwartz chosen
    Tony Schwartz is an American author and performance expert best known for his work on energy management and productivity, including co-authoring the influential book "The Power of Full Engagement."
  • C. Dan Futterman
    Dan Futterman is an American actor and Academy Award–nominated screenwriter known for writing the film "Capote" and co-creating the TV series "In Treatment."
  • D. Don Shebib
    Don Shebib is a Canadian film director, producer, and editor best known for his influential 1970 drama "Goin' Down the Road," a landmark of Canadian cinema.
  • E. Steve Schwartz
    Steve Schwartz is a film producer known for his work on the drama "The Counselor" and other major motion pictures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516de778c8190a75335ced4e1f834 completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.