Triple

T10660370
Position Surface form Disambiguated ID Type / Status
Subject Thunderbirds (2004 film) E251206 entity
Predicate stars P1956 FINISHED
Object Ron Cook E159355 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: Ron Cook | Statement: [Thunderbirds (2004 film), stars, Ron Cook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Cook
Context triple: [Thunderbirds (2004 film), stars, Ron Cook]
  • A. Ron Cook chosen
    Ron Cook is a British character actor known for his extensive work in film, television, and theatre, often portraying supporting yet memorable roles.
  • B. Phil Cook
    Phil Cook is an American musician and multi-instrumentalist known for his work in indie folk and rock projects such as Megafaun and Hiss Golden Messenger.
  • C. Rob Cook
    Rob Cook is a renowned computer graphics researcher and Pixar executive known for his pioneering work in rendering and visual effects.
  • D. Jon Cooksey
    Jon Cooksey is a television and film writer best known for co-writing the popular Disney Channel movie "Halloweentown."
  • E. Douglas Cook
    Douglas Cook was an American screenwriter best known for co-writing action and thriller films such as "The Rock" and "Double Jeopardy."
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6f0eee08190b4187671356e47ca completed April 12, 2026, 3:14 p.m.
Created at: April 8, 2026, 9:07 p.m.