Triple

T19714341
Position Surface form Disambiguated ID Type / Status
Subject King Kong (stage musical) E473432 entity
Predicate hasPuppet P92902 FINISHED
Object King Kong animatronic puppet LITERAL 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: King Kong animatronic puppet | Statement: [King Kong (stage musical), hasPuppet, King Kong animatronic puppet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPuppet
Context triple: [King Kong (stage musical), hasPuppet, King Kong animatronic puppet]
  • A. hasPuppetCharacter chosen
    Indicates that one entity features, includes, or is associated with a particular puppet character as part of its content or composition.
  • B. hasBeaverPuppetAsDevice
    Indicates that an entity uses or is associated with a beaver puppet as a device or tool in performing an action or function.
  • C. hasPilot
    Indicates that an entity is operated or controlled by a specific pilot.
  • D. hasPar
    Indicates a relationship where one entity has another entity as its parent.
  • E. hasPit
    Indicates that one entity possesses, contains, or is characterized by a pit or hollow space.
  • F. None of above.

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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440b47508190a8a33325b00841dc completed April 20, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69e530438c60819082364c7be3eef6f0 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:46 p.m.