Triple

T12097923
Position Surface form Disambiguated ID Type / Status
Subject Daisy ad E288116 entity
Predicate director P255 FINISHED
Object Tony Schwartz E439992 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: Tony Schwartz | Statement: [Daisy ad, director, Tony Schwartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Schwartz
Context triple: [Daisy ad, director, 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. Buck Henry Zuckerman
    Buck Henry Zuckerman, known professionally as Buck Henry, was an American screenwriter, actor, and director best known for co-writing "The Graduate" and co-creating the television series "Get Smart."
  • E. Peter Ochs
    Peter Ochs was an 18th-century Swiss politician and reformer best known for helping to establish the Helvetic Republic.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6708f8881909c4f40a466bc0acf completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.