Triple

T12224952
Position Surface form Disambiguated ID Type / Status
Subject The Sword of Ali Baba E291324 entity
Predicate producer P490 FINISHED
Object Howard Pine E432475 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: Howard Pine | Statement: [The Sword of Ali Baba, producer, Howard Pine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Pine
Context triple: [The Sword of Ali Baba, producer, Howard Pine]
  • A. Howard Pine chosen
    Howard Pine was a film producer active in mid-20th-century American cinema.
  • B. Howard Rock
    Howard Rock was an influential Alaska Native journalist, editor, and activist best known for founding and leading the Tundra Times newspaper, which advocated for Indigenous rights in Alaska.
  • C. Howard Sherman
    Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
  • D. Howard Han
    Howard "Chimney" Han is a central character on the television drama series "9-1-1," known as a dedicated and resourceful firefighter-paramedic with a complex personal history.
  • E. Jack Holbrook
    Jack Holbrook is a relatively obscure individual known primarily as a namesake associated with the surname Holbrook.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.