Triple

T13324385
Position Surface form Disambiguated ID Type / Status
Subject Lifeboat E317399 entity
Predicate producer P490 FINISHED
Object Kenneth Macgowan E415339 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: Kenneth Macgowan | Statement: [Lifeboat, producer, Kenneth Macgowan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth Macgowan
Context triple: [Lifeboat, producer, Kenneth Macgowan]
  • A. Kenneth Macgowan chosen
    Kenneth Macgowan was an American film and theater producer and critic known for his influential work in early 20th-century cinema and stage production.
  • B. John McGowan
    John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
  • C. Kenneth Kimmins
    Kenneth Kimmins is an American character actor best known for his recurring television roles, including his work on the sitcom "Coach."
  • D. William A. McGonagle
    William A. McGonagle was an American businessman best known as one of the founders of the multinational manufacturing and technology company 3M.
  • E. Philip Keenan
    Philip Keenan was an American astronomer best known for co-developing the Morgan–Keenan (MK) stellar classification system that remains a standard in astrophysics.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992c1fec8190bcb6a6bb3c973a24 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:30 p.m.