Triple

T22102465
Position Surface form Disambiguated ID Type / Status
Subject Joy (2015 film) E546203 entity
Predicate musicBy P1952 FINISHED
Object David Campbell 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: David Campbell | Statement: [Joy (2015 film), musicBy, David Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Campbell
Context triple: [Joy (2015 film), musicBy, David Campbell]
  • A. David Campbell chosen
    David Campbell is an Australian composer, arranger, and conductor renowned for his extensive work on film scores and orchestral arrangements.
  • B. David Campbell
    David Campbell was a historical figure of regional significance in Tennessee, commemorated as the namesake of the community of Campbell’s Station.
  • C. David Campbell
    David Campbell is a character in the Doctor Who universe known primarily as the romantic partner of Susan Foreman in the serial "The Dalek Invasion of Earth."
  • D. Alan Campbell
    Alan Campbell was an American screenwriter best known for his collaborations with his wife Dorothy Parker on classic Hollywood films in the 1930s and 1940s.
  • E. Rob Campbell
    Rob Campbell is a New Zealand business leader and professional director who has served in prominent governance roles across the country’s corporate and public sectors.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.