Triple

T10467151
Position Surface form Disambiguated ID Type / Status
Subject The Recruit E246826 entity
Predicate storyBy P1955 FINISHED
Object Roger Towne E873552 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: Roger Towne | Statement: [The Recruit, storyBy, Roger Towne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Towne
Context triple: [The Recruit, storyBy, Roger Towne]
  • A. Roger Towne chosen
    Roger Towne is an American screenwriter best known for his work on films such as "The Recruit" and contributions to other major Hollywood projects.
  • B. Richard Langer
    Richard Langer is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • C. Christopher Herrmann
    Christopher Herrmann is a hardworking, outspoken firefighter and bar co-owner on the television series "Chicago Fire."
  • D. Robert Towne
    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.
  • E. Dale Wasserman
    Dale Wasserman was an American playwright best known for writing the book for the musical "Man of La Mancha" and the stage adaptation of "One Flew Over the Cuckoo's Nest."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b31de8c8190996df69ae02278f8 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:20 p.m.