Triple

T10382866
Position Surface form Disambiguated ID Type / Status
Subject Sissy Spacek E244684 entity
Predicate workedWith P398 FINISHED
Object Michael Apted E321931 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: Michael Apted | Statement: [Sissy Spacek, workedWith, Michael Apted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Apted
Context triple: [Sissy Spacek, workedWith, Michael Apted]
  • A. Michael Apted chosen
    Michael Apted was a British film director and documentarian best known for the long-running "Up" documentary series and feature films such as "Gorillas in the Mist" and "The World Is Not Enough."
  • B. Bryan Forbes
    Bryan Forbes was a British film director, screenwriter, and actor known for works such as "The Stepford Wives" and "Whistle Down the Wind."
  • C. Simon Gavron
    Simon Gavron is the father of British-American actor Rafi Gavron.
  • 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. Ward Russell
    Ward Russell is a film cinematographer best known for his work on action movies such as "The Last Boy Scout."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7959b6c2c819085b606280024c0f9 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.