Triple

T8488593
Position Surface form Disambiguated ID Type / Status
Subject Alexander (2004 film) E200894 entity
Predicate editedBy P1954 FINISHED
Object Stuart Baird E275759 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: Stuart Baird | Statement: [Alexander (2004 film), editedBy, Stuart Baird]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Baird
Context triple: [Alexander (2004 film), editedBy, Stuart Baird]
  • A. Stuart Baird chosen
    Stuart Baird is a British film editor and director renowned for his work on major Hollywood action and blockbuster films such as the James Bond and Lethal Weapon series.
  • B. Stuart Gilmore
    Stuart Gilmore was an American film editor known for his work on numerous Hollywood productions from the 1930s through the 1960s.
  • C. Stuart Pritchard
    Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
  • D. Stuart Morrison
    Stuart Morrison is a motorsport communications professional who serves as the head of communications for the Haas Formula 1 Team.
  • E. Stuart Burge
    Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5581d308190b47d76dd49a36529 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab16ebd08190a4851e70a41e9908 completed April 3, 2026, 11:57 a.m.
Created at: March 30, 2026, 6:13 p.m.