Triple

T3668885
Position Surface form Disambiguated ID Type / Status
Subject James P. Sullivan E77828 entity
Predicate allies P2865 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: [James P. Sullivan, allies, Mike Wazowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Wazowski
Context triple: [James P. Sullivan, allies, 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. Sulley
    Sulley is the large, blue, furry monster who works as a top scarer and later a leader at Monsters, Inc. in Pixar's animated film series.
  • C. 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*.
  • D. Kronk
    Kronk is the lovable, dim-witted yet surprisingly skilled henchman and chef from Disney's animated film "The Emperor's New Groove."
  • E. 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.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42997d88190bc765559bd7645fc completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde628c08190adc058d8d35a5e5d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:25 p.m.