Triple

T5399297
Position Surface form Disambiguated ID Type / Status
Subject Mike Leigh E120733 entity
Predicate name P16 FINISHED
Object Mike Leigh E120733 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: Mike Leigh | Statement: [Mike Leigh, name, Mike Leigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Leigh
Context triple: [Mike Leigh, name, Mike Leigh]
  • A. Mike Leigh chosen
    Mike Leigh is an acclaimed British film and theatre director and screenwriter known for his improvisation-based method and socially realist works such as "Secrets & Lies" and "Vera Drake."
  • B. Michael Winterbottom
    Michael Winterbottom is a prolific and versatile British film director known for politically engaged dramas and innovative, genre-spanning works such as "24 Hour Party People," "The Road to Guantánamo," and "A Mighty Heart."
  • C. Stephen Frears
    Stephen Frears is a British film director known for acclaimed works such as "Dangerous Liaisons," "High Fidelity," and "Philomena."
  • D. Stephen Daldry
    Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
  • E. Danny Boyle
    Danny Boyle is an acclaimed British film director and producer known for movies such as "Trainspotting," "Slumdog Millionaire," and "28 Days Later."
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87499ec4819086f8292625b56f96 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf337f08088190a3678de0932b8310 completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.