Triple

T12893202
Position Surface form Disambiguated ID Type / Status
Subject Gary Ross E308419 entity
Predicate producerOf P490 FINISHED
Object Seabiscuit E457525 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: Seabiscuit | Statement: [Gary Ross, producerOf, Seabiscuit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seabiscuit
Context triple: [Gary Ross, producerOf, Seabiscuit]
  • A. Seabiscuit chosen
    Seabiscuit is a 2003 sports drama film about an undersized Depression-era racehorse and his unlikely team, adapted from Laura Hillenbrand’s nonfiction book.
  • B. The Story of Seabiscuit
    The Story of Seabiscuit is a 1949 American drama film about the legendary racehorse Seabiscuit, starring Shirley Temple and Barry Fitzgerald.
  • C. Secretariat: The Making of a Champion
    Secretariat: The Making of a Champion is a nonfiction book by William Nack that chronicles the life, racing career, and enduring legacy of the legendary Thoroughbred racehorse Secretariat.
  • D. The Greatest Show
    "The Greatest Show" is the high-energy opening ensemble number from the musical film *The Greatest Showman*, known for its theatrical flair and anthemic celebration of showmanship.
  • E. Babe
    Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e54dc48190acf120ca5fe516ab completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:40 p.m.