Triple

T20713519
Position Surface form Disambiguated ID Type / Status
Subject King Kong Encounter E509107 entity
Predicate manufacturer P490 FINISHED
Object Universal Creative 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: Universal Creative | Statement: [King Kong Encounter, manufacturer, Universal Creative]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal Creative
Context triple: [King Kong Encounter, manufacturer, Universal Creative]
  • A. Universal Creative chosen
    Universal Creative is the design and development division of Universal Parks & Resorts responsible for creating many of its iconic theme park attractions and experiences.
  • B. CREA
    CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
  • C. Creative Control
    Creative Control is a multimedia production company and creative studio best known for its work in music, culture, and documentary storytelling, co-founded by filmmaker Coodie Simmons.
  • D. creative haven
    A creative haven is a secluded, inspiring place where artists or writers retreat to focus intensely on their work and nurture their imagination.
  • E. Creative Force
    Creative Force is a high-class British Thoroughbred racehorse known for his success in top-level sprint races under trainer Charlie Appleby.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d001788190a524a17347f9de67 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:15 p.m.