Triple

T12883464
Position Surface form Disambiguated ID Type / Status
Subject Jack Skellington E308161 entity
Predicate occupation P3 FINISHED
Object Pumpkin King E1009605 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: Pumpkin King | Statement: [Jack Skellington, occupation, Pumpkin King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pumpkin King
Context triple: [Jack Skellington, occupation, Pumpkin King]
  • A. Pumpkin King chosen
    Pumpkin King is the fearsome yet beloved Halloween persona of Jack Skellington, the skeletal ruler and master of scares in Tim Burton’s film "The Nightmare Before Christmas."
  • B. Plump Jack
    Plump Jack is an opera by American composer Gordon Getty, based on the character Sir John Falstaff from Shakespeare’s history plays.
  • C. Puckman
    Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
  • D. The Watermelon King
    The Watermelon King is a novel by Daniel Wallace that blends Southern Gothic elements with magical realism in a quirky, small-town setting.
  • E. The Custody of the Pumpkin
    "The Custody of the Pumpkin" is a humorous short story by P. G. Wodehouse featuring Lord Emsworth’s obsessive concern over a prized pumpkin at Blandings Castle.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af55623081909fd171129f439302 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:39 p.m.