Triple

T5190179
Position Surface form Disambiguated ID Type / Status
Subject Terence Young E117132 entity
Predicate associatedWith P37 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: [Terence Young, associatedWith, Eon Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eon Productions
Context triple: [Terence Young, associatedWith, 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. Hyperion Pictures
    Hyperion Pictures is an American independent film production company best known for producing animated features such as "The Brave Little Toaster."
  • C. 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."
  • D. 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.
  • E. Horizon Pictures
    Horizon Pictures is a film production company best known for producing the epic historical drama "Lawrence of Arabia."
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ebbfd081909a19b903c227fc1f completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08dfe648190a98b5a61f857d593 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.