Triple

T5165804
Position Surface form Disambiguated ID Type / Status
Subject Lament E116550 entity
Predicate associatedAct P37 FINISHED
Object Les Baxter E136722 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 Baxter | Statement: [Lament, associatedAct, Les Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Baxter
Context triple: [Lament, associatedAct, Les Baxter]
  • A. Les Baxter chosen
    Les Baxter was an American composer and arranger best known for pioneering the exotica genre and creating lush, atmospheric orchestral pop recordings in the mid-20th century.
  • B. Lloyd Barker
    Lloyd Barker was an American gangster best known as a member of the notorious Barker–Karpis crime gang during the early 20th century.
  • C. Cliff Booth
    Cliff Booth is a fictional World War II veteran and stuntman in Quentin Tarantino's film "Once Upon a Time in Hollywood," known for his stoic demeanor, combat skills, and loyal partnership with actor Rick Dalton.
  • D. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • E. Peter Benton
    Peter Benton is a driven and often intense trauma surgeon from the television series "ER," known for his surgical skill and complex personal relationships with colleagues.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21a42d208190832d00fb62ad683e completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:44 p.m.