Triple

T18973669
Position Surface form Disambiguated ID Type / Status
Subject Merle Travis E464235 entity
Predicate influenced P9 FINISHED
Object Tommy Emmanuel NE NERFINISHED

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: Tommy Emmanuel | Statement: [Merle Travis, influenced, Tommy Emmanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Emmanuel
Context triple: [Merle Travis, influenced, Tommy Emmanuel]
  • A. Tommy Emmanuel chosen
    Tommy Emmanuel is an acclaimed Australian guitarist renowned for his virtuosic fingerstyle technique and energetic solo performances.
  • B. Marcus Skidmore
    Marcus Skidmore is the naive, kind-hearted boy in the dark comedy film "Bad Santa" whose innocence contrasts sharply with the movie’s crude adult characters.
  • C. Stanley Jordan
    Stanley Jordan is an American jazz guitarist renowned for his innovative two-handed tapping technique and genre-blending improvisational style.
  • D. Kenny Wayne Shepherd
    Kenny Wayne Shepherd is an American blues-rock guitarist, singer, and songwriter known for his virtuosic playing and revival of modern electric blues.
  • E. Michael Hedges
    Michael Hedges was an innovative American acoustic guitarist and composer known for his groundbreaking percussive fingerstyle technique and influential recordings in the new-age and contemporary instrumental genres.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61d7728819096f0baea75658a6a completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon