Triple

T4666933
Position Surface form Disambiguated ID Type / Status
Subject Changeling E102867 entity
Predicate productionCompany P490 FINISHED
Object Malpaso Productions E234195 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: Malpaso Productions | Statement: [Changeling, productionCompany, Malpaso Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malpaso Productions
Context triple: [Changeling, productionCompany, Malpaso Productions]
  • A. Malpaso Productions chosen
    Malpaso Productions is Clint Eastwood’s film production company, known for producing many of his acclaimed movies across several decades.
  • B. Elcajo Productions
    Elcajo Productions is a film production company best known for its involvement in the making of the action movie "First Blood."
  • C. Gran Via Productions
    Gran Via Productions is a television and film production company best known for producing the acclaimed series "Breaking Bad."
  • D. Iguana Producciones
    Iguana Producciones is a film and television production company known for producing the acclaimed Mexican horror film "Cronos" directed by Guillermo del Toro.
  • E. Pastel Productions
    Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be038912488190a109d4ce624b813d completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.