Triple

T7592887
Position Surface form Disambiguated ID Type / Status
Subject License to Kill E179781 entity
Predicate productionCompany P490 FINISHED
Object Eon Productions E199105 NE FINISHED

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: Eon Productions | Statement: [License to Kill, productionCompany, Eon Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eon Productions
Context triple: [License to Kill, productionCompany, Eon Productions]
  • A. Eon Productions chosen
    Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
  • B. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • C. Hyperion Pictures
    Hyperion Pictures is an American independent film production company best known for producing animated features such as "The Brave Little Toaster."
  • D. EMI Films
    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."
  • E. Boss Film Studios
    Boss Film Studios was a prominent American visual effects and production company known for its groundbreaking work on major Hollywood films in the 1980s and 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.