Triple

T21951694
Position Surface form Disambiguated ID Type / Status
Subject Look Back in Anger (1959 film) E542084 entity
Predicate editedBy P1954 FINISHED
Object Richard Best 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: Richard Best | Statement: [Look Back in Anger (1959 film), editedBy, Richard Best]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Best
Context triple: [Look Back in Anger (1959 film), editedBy, Richard Best]
  • A. Richard Best chosen
    Richard Best was a film editor known for his work on mid-20th-century British cinema.
  • B. Richard Christie
    Richard Christie was a psychologist best known for empirically developing and measuring the personality construct of Machiavellianism through the creation of the Mach-IV scale.
  • C. William Tritton
    William Tritton was a British engineer and industrialist best known for co-developing the first operational military tanks during World War I.
  • D. Henry Folland
    Henry Folland was a British aircraft designer best known for his influential First World War fighter designs and later work founding and leading the Folland Aircraft company.
  • E. Paul Biggar
    Paul Biggar is a software engineer and entrepreneur best known as the co-founder of the continuous integration and delivery platform CircleCI.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.