Triple

T17331990
Position Surface form Disambiguated ID Type / Status
Subject Death Wish E420837 entity
Predicate editedBy P1954 FINISHED
Object Bernard Gribble 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: Bernard Gribble | Statement: [Death Wish, editedBy, Bernard Gribble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernard Gribble
Context triple: [Death Wish, editedBy, Bernard Gribble]
  • A. Bernard Gribble chosen
    Bernard Gribble was a British film editor known for his work on numerous feature films and television productions from the mid-20th century onward.
  • B. Clive Gillinson
    Clive Gillinson is a British arts administrator and former cellist best known for his long tenure as managing and artistic director of Carnegie Hall.
  • C. Bernard Gourley
    Bernard Gourley is a music video director best known for helming high-profile videos in hip-hop and pop, including M.I.A.’s hit “Paper Planes.”
  • D. Anthony Gilby
    Anthony Gilby was a 16th-century English Puritan clergyman and Bible scholar known for his role in the English Reformation and work on early English Bible translations.
  • E. Clive Beddoe
    Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
Created at: April 10, 2026, 5:43 a.m.