Triple

T4253005
Position Surface form Disambiguated ID Type / Status
Subject Noah Johnston E95901 entity
Predicate voiceRole P12691 FINISHED
Object young Mike Wazowski E77014 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: young Mike Wazowski | Statement: [Noah Johnston, voiceRole, young Mike Wazowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: young Mike Wazowski
Context triple: [Noah Johnston, voiceRole, young Mike Wazowski]
  • A. Mike Wazowski chosen
    Mike Wazowski is a one-eyed, green monster from Pixar's Monsters, Inc. franchise, known for his comedic personality and role as Sulley’s best friend and scare assistant.
  • B. Jack Skellington
    Jack Skellington is the skeletal "Pumpkin King" of Halloween Town and the iconic protagonist of Tim Burton’s stop-motion film *The Nightmare Before Christmas*.
  • C. Mikey
    Mikey is a common diminutive or nickname for the given name Michael, often used informally or affectionately.
  • D. Mad Mouse
    Mad Mouse is a compact steel wild mouse–style roller coaster located at the Michigan’s Adventure amusement park in Michigan.
  • E. Rob Moose
    Rob Moose is an American musician, arranger, and conductor best known for his string work and collaborations with artists across indie rock, pop, and classical genres.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ebc98e08190915ac309a51ef87f completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a8845e6081908bbf1aef2a2da754 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.