Triple

T17713969
Position Surface form Disambiguated ID Type / Status
Subject King Kong Lives E442139 entity
Predicate hasEditor P1954 FINISHED
Object Malcolm Cooke 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: Malcolm Cooke | Statement: [King Kong Lives, hasEditor, Malcolm Cooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm Cooke
Context triple: [King Kong Lives, hasEditor, Malcolm Cooke]
  • A. Malcolm Cooke chosen
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • B. Anthony Cooke
    Anthony Cooke was a 16th-century English humanist scholar and tutor to Edward VI, noted for his influential role in the Protestant intellectual circles of the Tudor court.
  • C. Mick Reid
    Mick Reid is an alternative name used for the individual known as Mike Reid, likely referring to the same person in public or professional contexts.
  • D. Phil DeVille
    Phil DeVille is a mischievous, mud-loving baby boy and one of the main infant characters in the animated television series "Rugrats."
  • E. James Coryell
    James Coryell was a Texas frontiersman and early settler whose legacy is commemorated by having Coryell County, Texas, named in his honor.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729cebd08190872be96a26d0f7ce completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:06 a.m.