Triple

T12668073
Position Surface form Disambiguated ID Type / Status
Subject Unchained Melody E302607 entity
Predicate notableCoverArtist P7128 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: [Unchained Melody, notableCoverArtist, Les Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Baxter
Context triple: [Unchained Melody, notableCoverArtist, 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. Glen Baxter
    Glen Baxter is an American mathematician known for his contributions to probability theory and functional analysis.
  • C. Douglas Baxter
    Douglas Baxter is known as the husband of Irish actress Victoria Smurfit.
  • D. Lonny Baxter
    Lonny Baxter is a former American professional basketball player best known for starring on the University of Maryland team that won the 2002 NCAA championship.
  • E. 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.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684dfce0c8190b3b8260450bd6967 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:20 p.m.