Triple

T21113169
Position Surface form Disambiguated ID Type / Status
Subject Carry On film series E520221 entity
Predicate distributor P1951 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: [Carry On film series, distributor, EMI Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMI Films
Context triple: [Carry On film series, distributor, 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72103b3888190a19e9a40f01fb439 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.