Triple

T19693693
Position Surface form Disambiguated ID Type / Status
Subject Electric and Musical Industries Ltd. E472897 entity
Predicate notableDivision P18309 FINISHED
Object EMI Films 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: EMI Films | Statement: [Electric and Musical Industries Ltd., notableDivision, EMI Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMI Films
Context triple: [Electric and Musical Industries Ltd., notableDivision, EMI Films]
  • A. EMI Films chosen
    EMI Films was a British film production and distribution company active mainly in the 1960s–1980s, known for backing major films including the acclaimed war drama "The Deer Hunter."
  • B. Palace Films
    Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
  • C. Empire Pictures
    Empire Pictures was an independent American film production and distribution company best known for low-budget horror, fantasy, and science fiction movies in the 1980s.
  • D. Eon Productions
    Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
  • E. Savoy Pictures
    Savoy Pictures was an American independent film production and distribution company active in the 1990s.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64211e5d481908358d922e0dca271 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.