Triple

T9578755
Position Surface form Disambiguated ID Type / Status
Subject Ray (film) E231114 entity
Predicate producer P490 FINISHED
Object Howard Baldwin E327263 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 Baldwin | Statement: [Ray (film), producer, Howard Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Baldwin
Context triple: [Ray (film), producer, Howard Baldwin]
  • A. Howard Baldwin chosen
    Howard Baldwin is an American sports executive and film producer best known for his role in founding and leading professional hockey franchises and leagues.
  • B. Howard Ralston
    Howard Ralston was an early 20th-century American film actor known for appearing in silent-era productions, including the 1920 adaptation of "Pollyanna."
  • C. Donald Cargill
    Donald Cargill was a 17th-century Scottish Presbyterian minister and Covenanter leader known for his fierce opposition to royal interference in the church and his eventual execution for treason.
  • D. Howard Brackett
    Howard Brackett is the small-town high school teacher who becomes the comedic focus of a public outing and identity crisis in the film "In & Out."
  • E. Howard Bowen
    Howard Bowen was an American economist and university administrator best known for pioneering the concept of corporate social responsibility in modern business ethics.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1615d093c8190940037e9e0842db5 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.