Triple

T17632335
Position Surface form Disambiguated ID Type / Status
Subject Jefferson in Paris E430007 entity
Predicate leadActor P1507 FINISHED
Object Nick Nolte 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: Nick Nolte | Statement: [Jefferson in Paris, leadActor, Nick Nolte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Nolte
Context triple: [Jefferson in Paris, leadActor, Nick Nolte]
  • A. Nick Nolte chosen
    Nick Nolte is an American actor known for his rugged screen presence and acclaimed performances in films such as "The Prince of Tides," "Affliction," and "48 Hrs."
  • B. Jon Voight
    Jon Voight is an American actor acclaimed for his powerful performances in films such as "Midnight Cowboy," "Deliverance," and "Coming Home," for which he won the Academy Award for Best Actor.
  • C. Ned Beatty
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • D. Gene Hackman
    Gene Hackman is an acclaimed American actor known for his powerful, versatile performances in films such as "The French Connection," "The Conversation," and "Unforgiven."
  • E. Bruce Dern
    Bruce Dern is an acclaimed American character actor known for his intense, often villainous roles in films such as "Nebraska," "Coming Home," and numerous collaborations with directors like Quentin Tarantino.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc276b48190923f1869ebfe4400 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.