Triple

T9299108
Position Surface form Disambiguated ID Type / Status
Subject The Happy Time E223714 entity
Predicate editedBy P1954 FINISHED
Object Al Clark E434944 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: Al Clark | Statement: [The Happy Time, editedBy, Al Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Clark
Context triple: [The Happy Time, editedBy, Al Clark]
  • A. Al Clark chosen
    Al Clark was an American film editor best known for his work on classic Hollywood films, including the 1939 political drama "Mr. Smith Goes to Washington."
  • B. Al Clark
    Al Clark is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
  • C. Cliff Clark
    Cliff Clark was an American character actor active in the 1930s and 1940s, often appearing in supporting roles in Hollywood films.
  • D. Greg Clark
    Greg Clark is a British Conservative politician who served as the inaugural Secretary of State for Business, Energy and Industrial Strategy and has held several senior government roles.
  • E. Carroll Clark
    Carroll Clark was a prominent Hollywood art director and production designer known for his influential work on classic films of the 1930s and 1940s.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08cf50cc8190a025f478dff4f9fd completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0f39d06708190a85dcf3f35681d92 completed April 4, 2026, 11:18 a.m.
Created at: March 30, 2026, 7:36 p.m.