Triple

T20711328
Position Surface form Disambiguated ID Type / Status
Subject David and Lisa E509049 entity
Predicate producer P490 FINISHED
Object Everest Pictures 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: Everest Pictures | Statement: [David and Lisa, producer, Everest Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everest Pictures
Context triple: [David and Lisa, producer, Everest Pictures]
  • A. Everest Pictures chosen
    Everest Pictures is a film production company known for producing the psychological drama "David and Lisa."
  • B. Annapurna Pictures
    Annapurna Pictures is an American film production company known for backing critically acclaimed, auteur-driven movies such as "Her," "Zero Dark Thirty," and "American Hustle."
  • C. Colossal Pictures
    Colossal Pictures was an innovative San Francisco–based animation and design studio best known for its experimental work in television, advertising, and music videos during the 1980s and early 1990s.
  • D. Impact Pictures
    Impact Pictures is a film production company best known for producing action and science-fiction movies, including entries in the Resident Evil franchise.
  • E. Elevation Pictures
    Elevation Pictures is a Canadian film distribution and production company known for releasing a wide range of independent and studio films in Canada.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1cdcaac8190b9ba82d489fb3bfc completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.