Triple

T12883839
Position Surface form Disambiguated ID Type / Status
Subject Oogie Boogie E308170 entity
Predicate voicedBy P2181 FINISHED
Object Ken Page E308167 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: Ken Page | Statement: [Oogie Boogie, voicedBy, Ken Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Page
Context triple: [Oogie Boogie, voicedBy, Ken Page]
  • A. Ken Page chosen
    Ken Page is an American actor and singer best known for voicing the character Oogie Boogie in the animated film "The Nightmare Before Christmas."
  • B. Neal Page
    Neal Page is the tightly wound, work-obsessed marketing executive portrayed by Steve Martin in the comedy film "Planes, Trains and Automobiles."
  • C. Ken Eikenberry
    Ken Eikenberry is an American lawyer and Republican politician best known for serving as the Attorney General of Washington State from 1981 to 1993.
  • D. Phil Brent
    Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
  • E. Ken Nelson
    Ken Nelson was an influential American record producer best known for his work with country and pop artists at Capitol Records during the mid-20th century.
  • 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_69f6c0e54dc48190acf120ca5fe516ab completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:39 p.m.