Triple

T20472529
Position Surface form Disambiguated ID Type / Status
Subject Without Limits E502227 entity
Predicate writer P1360 FINISHED
Object Robert Towne 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: Robert Towne | Statement: [Without Limits, writer, Robert Towne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Towne
Context triple: [Without Limits, writer, Robert Towne]
  • A. Robert Towne chosen
    Robert Towne is an acclaimed American screenwriter and director best known for writing the Oscar-winning screenplay for "Chinatown" and contributing to several other landmark films of the New Hollywood era.
  • B. Roger Towne
    Roger Towne is an American screenwriter best known for his work on films such as "The Recruit" and contributions to other major Hollywood projects.
  • C. William Goldman
    William Goldman was an acclaimed American novelist and screenwriter known for works such as "Butch Cassidy and the Sundance Kid" and "The Princess Bride."
  • D. David Seltzer
    David Seltzer is an American screenwriter and director best known for writing the horror classic "The Omen" (1976) and for his work on films such as "Lucas" and "Punchline."
  • E. Brian Helgeland
    Brian Helgeland is an American screenwriter and director best known for his Oscar-winning work on crime dramas and genre films such as L.A. Confidential and Mystic River.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69962d810819091bb13fe73250e24 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.