Triple

T15290276
Position Surface form Disambiguated ID Type / Status
Subject Michael Kanin E365507 entity
Predicate name P16 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: [Michael Kanin, name, Michael Kanin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kanin
Context triple: [Michael Kanin, name, 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. Noel Kahn
    Noel Kahn is a recurring, often antagonistic character from the television series "Pretty Little Liars," known for his mysterious behavior and involvement in the show's central conspiracies.
  • D. Kenneth Nelson
    Kenneth Nelson was an American actor best known for originating the lead role in the groundbreaking gay-themed play and film "The Boys in the Band."
  • E. 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."
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.