Triple

T5978708
Position Surface form Disambiguated ID Type / Status
Subject Blake Edwards E133064 entity
Predicate spouse P13 FINISHED
Object Julie Andrews E323424 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: Julie Andrews | Statement: [Blake Edwards, spouse, Julie Andrews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Andrews
Context triple: [Blake Edwards, spouse, Julie Andrews]
  • A. Julie Andrews chosen
    Julie Andrews is an acclaimed English actress and singer, best known for her iconic roles in classic film musicals such as "Mary Poppins" and "The Sound of Music."
  • B. Shirley Jones
    Shirley Jones is an American actress and singer best known for her roles in classic musical films and as the matriarch in the television series "The Partridge Family."
  • C. Doris Day
    Doris Day was a celebrated American actress and singer, best known for her roles in classic Hollywood romantic comedies and musicals and for her smooth, melodic vocal style.
  • D. Frances Ford Seymour
    Frances Ford Seymour was a Canadian-born American socialite and the second wife of actor Henry Fonda, and the mother of actors Jane and Peter Fonda.
  • E. Joan Greenwood
    Joan Greenwood was a distinctive English actress renowned for her husky voice and roles in classic British films such as "Kind Hearts and Coronets" and "The Man in the White Suit."
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3e686c81908910c0881ac1624d completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e41d23848190bc7835eb6313b6a5 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.