Triple

T10676813
Position Surface form Disambiguated ID Type / Status
Subject Being There E251641 entity
Predicate screenwriter P2831 FINISHED
Object Robert C. Jones E308257 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: Robert C. Jones | Statement: [Being There, screenwriter, Robert C. Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert C. Jones
Context triple: [Being There, screenwriter, Robert C. Jones]
  • A. Robert C. Jones chosen
    Robert C. Jones was an American film editor and screenwriter known for his work on numerous notable films and for winning an Academy Award for Best Film Editing.
  • B. Hugh G. Jones
    Hugh G. Jones was an architect known for his role in designing Toronto’s historic Union Station.
  • C. Joseph T. Jones
    Joseph T. Jones was an American entrepreneur and oilman best known for developing the Gulf Coast region and playing a key role in the early growth of Gulfport, Mississippi.
  • D. Ralph E. Ogden
    Ralph E. Ogden was an American businessman and arts patron best known for establishing the Storm King Art Center, one of the world’s leading outdoor sculpture parks.
  • E. Hugh R. A. Jones
    Hugh R. A. Jones is a British astronomer known for his work in exoplanet detection and characterization.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
Created at: April 8, 2026, 9:09 p.m.