Triple

T23226537
Position Surface form Disambiguated ID Type / Status
Subject Pardners E581030 entity
Predicate productionCompany P490 FINISHED
Object Hal Wallis Productions 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: Hal Wallis Productions | Statement: [Pardners, productionCompany, Hal Wallis Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hal Wallis Productions
Context triple: [Pardners, productionCompany, Hal Wallis Productions]
  • A. Hal Wallis Productions chosen
    Hal Wallis Productions was an American film production company founded by and centered around influential Hollywood producer Hal B. Wallis, known for backing numerous major studio films in the mid-20th century.
  • B. Irwin Winkler Productions
    Irwin Winkler Productions is a film production company best known for producing acclaimed movies such as the crime classic "Goodfellas."
  • C. Quadrant Pictures
    Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
  • D. Hollywood Pictures
    Hollywood Pictures was a film production label of The Walt Disney Company that focused on releasing more mature and genre-oriented movies during the 1990s.
  • E. Equity Pictures
    Equity Pictures is a film production company known for financing and producing a range of international motion pictures.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922e2d2c81908c0f3fa5df8a5c58 completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:09 p.m.