Triple

T17606795
Position Surface form Disambiguated ID Type / Status
Subject Trapeze E428853 entity
Predicate director P255 FINISHED
Object Carol Reed 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: Carol Reed | Statement: [Trapeze, director, Carol Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Reed
Context triple: [Trapeze, director, Carol Reed]
  • A. Carol Reed chosen
    Carol Reed was an acclaimed British film director best known for classics such as "The Third Man" and "Oliver!", and for his influential role in mid-20th-century cinema.
  • B. John Schlesinger
    John Schlesinger was an acclaimed British film director known for works such as "Midnight Cowboy" and "Sunday Bloody Sunday."
  • C. Lewis Gilbert
    Lewis Gilbert was a British film director best known for his work on several James Bond films, including "You Only Live Twice," "The Spy Who Loved Me," and "Moonraker."
  • D. Michael Powell
    Michael Powell is an American bookseller and entrepreneur best known as the founder of Powell’s City of Books, one of the world’s largest independent bookstores.
  • E. Michael Powell
    Michael Powell was a pioneering British film director best known for his visually inventive and psychologically rich collaborations with Emeric Pressburger, such as "The Red Shoes" and "Black Narcissus."
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4ccef08190aeaa88670364bd74 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.