Triple

T21659902
Position Surface form Disambiguated ID Type / Status
Subject The Letter (1929 film) E534566 entity
Predicate screenwriter P2831 FINISHED
Object Garrett Fort NE NERFINISHED

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: Garrett Fort | Statement: [The Letter (1929 film), screenwriter, Garrett Fort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garrett Fort
Context triple: [The Letter (1929 film), screenwriter, Garrett Fort]
  • A. Garrett Fort chosen
    Garrett Fort was an American screenwriter best known for his work on classic Hollywood horror and adventure films in the 1930s and 1940s.
  • B. Hook Norton
    Hook Norton is a historic Cotswold village in Oxfordshire, England, best known for its traditional Victorian tower brewery and honey-colored stone buildings.
  • C. Garet
    Garet is a given name that functions as a variant form of the name Garrett.
  • D. Glen Greenwood
    Glen Greenwood is a character in the family adventure film "Free Willy 2: The Adventure Home," involved in the story surrounding the rescued orca Willy and his human friends.
  • E. Point Bennett
    Point Bennett is a remote, wildlife-rich headland on the western tip of San Miguel Island in California’s Channel Islands, known for its large colonies of seals and sea lions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c06844c81909b9c91e02fa4e6e1 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.