Triple

T2124464
Position Surface form Disambiguated ID Type / Status
Subject Monsters, Inc. E46395 entity
Predicate hasCharacter P2308 FINISHED
Object 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: Mike Wazowski | Statement: [Monsters, Inc., hasCharacter, Mike Wazowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Wazowski
Context triple: [Monsters, Inc., hasCharacter, 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. Kronk
    Kronk is the lovable, dim-witted yet surprisingly skilled henchman and chef from Disney's animated film "The Emperor's New Groove."
  • C. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • D. Cousin Itt
    Cousin Itt is a diminutive, entirely hair-covered member of the eccentric Addams clan, known for his rapid, unintelligible speech and quirky charm.
  • E. Gru
    Gru is the bald, long-nosed former supervillain and adoptive father of three girls who serves as the central protagonist of the Despicable Me animated film franchise.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cf2a588190a59dc1ae5d684538 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.