Triple

T13274046
Position Surface form Disambiguated ID Type / Status
Subject A Man Alone E316140 entity
Predicate producer P490 FINISHED
Object Clarence Greene E513741 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: Clarence Greene | Statement: [A Man Alone, producer, Clarence Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarence Greene
Context triple: [A Man Alone, producer, Clarence Greene]
  • A. Clarence Greene chosen
    Clarence Greene was an American film producer and screenwriter known for his work on mid-20th-century Hollywood crime dramas and Westerns.
  • B. Clarence Rowland
    Clarence Rowland was an American Major League Baseball manager best known for leading the Chicago White Sox to the 1917 World Series championship.
  • C. Charles Furthman
    Charles Furthman was an American screenwriter active during the silent and early sound film era.
  • D. Clarence Leon Brown
    Clarence Leon Brown was a prominent American film director of the early to mid-20th century, best known for his work at MGM on classics such as "Anna Christie," "National Velvet," and "The Yearling."
  • E. Alvin John Clark
    Alvin John Clark was a microbiologist associated with the influential mid-20th-century Phage Group that helped establish molecular genetics using bacteriophages as model systems.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a51d458819080b8c8f3a4df0f52 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.