Triple

T6184115
Position Surface form Disambiguated ID Type / Status
Subject The Clock E138013 entity
Predicate screenwriter P2831 FINISHED
Object Robert Nathan E326239 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 Nathan | Statement: [The Clock, screenwriter, Robert Nathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Nathan
Context triple: [The Clock, screenwriter, Robert Nathan]
  • A. Robert Nathan chosen
    Robert Nathan was an American novelist and poet best known for his romantic and fantasy fiction, including the story that inspired the film "The Bishop's Wife."
  • B. Irving Shulman
    Irving Shulman was an American author and screenwriter best known for his novel "The Amboy Dukes" and for adapting "Rebel Without a Cause" for film.
  • C. John Altschuler
    John Altschuler is an American television writer and producer best known for co-creating and producing the animated series "King of the Hill" and "Silicon Valley."
  • D. Irving Rosenfeld
    Irving Rosenfeld is the charismatic, small-time con artist at the center of the crime drama film "American Hustle."
  • E. Max Eitingon
    Max Eitingon was a German-Jewish psychoanalyst and close associate of Sigmund Freud, known for helping institutionalize psychoanalytic training and practice in Europe and the Middle East.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5979208190b3bedb6234181245 completed March 28, 2026, 12:01 a.m.
Created at: March 22, 2026, 4:19 p.m.