Triple

T10280748
Position Surface form Disambiguated ID Type / Status
Subject Michael Cimino E241093 entity
Predicate familyName P18 FINISHED
Object Cimino E241093 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: Cimino | Statement: [Michael Cimino, familyName, Cimino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cimino
Context triple: [Michael Cimino, familyName, Cimino]
  • A. Cis Corman
    Cis Corman was an American casting director and film producer known for her long-time collaboration with Barbra Streisand on several major films.
  • B. Guillermin
    Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
  • C. Vidor
    Vidor is a surname most notably associated with King Vidor, an influential American film director of the early to mid-20th century.
  • D. Nicholas Kazan
    Nicholas Kazan is an American screenwriter, playwright, and director known for films such as "Reversal of Fortune" and for being the son of famed director Elia Kazan.
  • E. Michael Cimino chosen
    Michael Cimino was an American film director and screenwriter best known for his ambitious, visually striking dramas and his Oscar-winning work on the Vietnam War epic "The Deer Hunter."
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f82f16688190b1c6b80e424bd552 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:38 a.m.