Triple

T11136231
Position Surface form Disambiguated ID Type / Status
Subject Lady Macbeth E263417 entity
Predicate director P255 FINISHED
Object William Oldroyd E263417 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: William Oldroyd | Statement: [Lady Macbeth, director, William Oldroyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Oldroyd
Context triple: [Lady Macbeth, director, William Oldroyd]
  • A. William Oldroyd chosen
    William Oldroyd is a British film and theatre director best known for his critically acclaimed 2016 period drama film "Lady Macbeth."
  • B. James Marsh
    James Marsh is a British filmmaker best known for his acclaimed documentary and narrative features, including the Oscar-winning "Man on Wire" and the biographical drama "The Theory of Everything."
  • C. Jonathan Glazer
    Jonathan Glazer is a British filmmaker and screenwriter known for his visually distinctive, psychologically intense films such as "Sexy Beast," "Birth," and "Under the Skin."
  • D. Peter Strickland
    Peter Strickland is a British filmmaker known for his atmospheric, genre-bending films that blend psychological horror, dark humor, and meticulous sound design.
  • E. Sam Mendes
    Sam Mendes is an acclaimed British film and theatre director known for works such as "American Beauty," the James Bond films "Skyfall" and "Spectre," and the World War I epic "1917."
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.