Triple

T8329510
Position Surface form Disambiguated ID Type / Status
Subject A Double Life E195039 entity
Predicate producer P490 FINISHED
Object Michael Kanin E365507 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: Michael Kanin | Statement: [A Double Life, producer, Michael Kanin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kanin
Context triple: [A Double Life, producer, Michael Kanin]
  • A. Michael Kanin chosen
    Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
  • B. Joseph Kane
    Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
  • C. Seymour Nebenzal
    Seymour Nebenzal was a prominent German-American film producer known for his work in Weimar cinema and later in Hollywood, including influential films such as Fritz Lang’s "M."
  • D. Benjamin Kanes
    Benjamin Kanes is an American actor and filmmaker known for supporting roles in film and television, including appearances in projects like "The Visit."
  • E. Paul Jesson
    Paul Jesson is a British actor known for his work in film, television, and theatre, including a role in Mike Leigh’s biographical drama "Mr. Turner."
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc70723a48190a3e33908fc84fe59 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:56 p.m.