Triple

T18711530
Position Surface form Disambiguated ID Type / Status
Subject Thunderbolt and Lightfoot E457524 entity
Predicate productionCompany P490 FINISHED
Object Malpaso Company 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: Malpaso Company | Statement: [Thunderbolt and Lightfoot, productionCompany, Malpaso Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malpaso Company
Context triple: [Thunderbolt and Lightfoot, productionCompany, Malpaso Company]
  • A. The Malpaso Company chosen
    The Malpaso Company is Clint Eastwood’s film production company, known for producing many of his notable movies.
  • B. Macauley Company
    Macauley Company was an American publishing house active in the early 20th century, known for issuing works of fiction and literature.
  • C. Ayala Corporation
    Ayala Corporation is one of the Philippines’ largest and oldest conglomerates, with major interests in real estate, banking, telecommunications, and infrastructure.
  • D. Mustique Company
    Mustique Company is a private management and development firm that owns and oversees the exclusive Caribbean island of Mustique, including its infrastructure, real estate, and resort operations.
  • E. Spirella Company
    Spirella Company was a prominent early 20th-century British manufacturer of corsets and women’s foundation garments, known for its innovative products and model factory workplaces.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.