Triple

T3621534
Position Surface form Disambiguated ID Type / Status
Subject Zoolander E76737 entity
Predicate character P662 FINISHED
Object Hansel McDonald E365681 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: Hansel McDonald | Statement: [Zoolander, character, Hansel McDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansel McDonald
Context triple: [Zoolander, character, Hansel McDonald]
  • A. Hansel McDonald chosen
    Hansel McDonald is the laid-back, free-spirited male supermodel character from the "Zoolander" comedy films.
  • B. Mickey Vernon
    Mickey Vernon was an American Major League Baseball first baseman and two-time batting champion best known for his long and distinguished career, primarily with the Washington Senators.
  • C. Rich McKay
    Rich McKay is an American football executive best known for his long tenure in NFL leadership roles, including as a team executive and influential member of league committees.
  • D. Michael Wandmacher
    Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
  • E. Delice Burhans
    Delice Burhans was the wife of Willis Van Devanter, an Associate Justice of the United States Supreme Court in the early 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bb12cc8190bd67597cf3b66a3a completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331e75d08190ad1ce3e7ef26454a completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.