Triple

T17375246
Position Surface form Disambiguated ID Type / Status
Subject Madame Curie (film) E422418 entity
Predicate stars P1956 FINISHED
Object Henry Travers 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: Henry Travers | Statement: [Madame Curie (film), stars, Henry Travers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Travers
Context triple: [Madame Curie (film), stars, Henry Travers]
  • A. Henry Travers chosen
    Henry Travers was a British-born character actor best known for his portrayal of the guardian angel Clarence Odbody in the classic film "It's a Wonderful Life."
  • B. Harry Davenport
    Harry Davenport was an American character actor best known for his numerous supporting roles in classic Hollywood films of the 1930s and 1940s.
  • C. Robert Healey
    Robert Healey is a name shared by several notable individuals, including an American lawyer and perennial political candidate known for his satirical campaigns.
  • D. Raymond Massey
    Raymond Massey was a Canadian-American actor known for his commanding screen presence and memorable roles in classic films and stage productions.
  • E. Henry Bergner
    Henry Bergner is the central protagonist of the film "Between Two Worlds," whose experiences and choices drive the story’s emotional and narrative arc.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6c864481908507290282cc6d25 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.