Triple

T7644593
Position Surface form Disambiguated ID Type / Status
Subject Ub Iwerks E173088 entity
Predicate notableStudentOrColleague P25977 FINISHED
Object Les Clark E340803 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: Les Clark | Statement: [Ub Iwerks, notableStudentOrColleague, Les Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Clark
Context triple: [Ub Iwerks, notableStudentOrColleague, Les Clark]
  • A. Les Clark chosen
    Les Clark was an American animator and one of Disney’s famed "Nine Old Men," known for his influential work on many classic Disney films.
  • B. Matt Clark
    Matt Clark was an American character actor known for his numerous supporting roles in Westerns and other films and television series from the 1960s onward.
  • C. Mike E. Clark
    Mike E. Clark is an American record producer best known for his long-running work with Insane Clown Posse and other artists on the Psychopathic Records label.
  • D. Louis Clark
    Louis Clark was an English arranger and conductor best known for orchestrating and conducting the string arrangements for Electric Light Orchestra and later leading the Hooked on Classics series.
  • E. Tim Clark
    Tim Clark is a British airline executive best known as the longtime president of Emirates, where he played a key role in transforming it into a major global carrier.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.