Triple

T13603299
Position Surface form Disambiguated ID Type / Status
Subject Film Stars Don’t Die in Liverpool E324995 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: [Film Stars Don’t Die in Liverpool, productionCompany, Eon Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eon Productions
Context triple: [Film Stars Don’t Die in Liverpool, 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. Endor Productions
    Endor Productions is a British television production company known for creating high-quality drama series and films for major broadcasters and streaming platforms.
  • D. Hyperion Pictures
    Hyperion Pictures is an American independent film production company best known for producing animated features such as "The Brave Little Toaster."
  • E. 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."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f93ec588190993baec788d22670 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.