Triple

T3703389
Position Surface form Disambiguated ID Type / Status
Subject William Dawes E80834 entity
Predicate familyName P18 FINISHED
Object Dawes E40352 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: Dawes | Statement: [William Dawes, familyName, Dawes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawes
Context triple: [William Dawes, familyName, Dawes]
  • A. Dawes chosen
    Dawes is an American folk-rock band known for its Laurel Canyon-inspired sound and introspective songwriting.
  • B. Old Crow Medicine Show
    Old Crow Medicine Show is an American string band known for revitalizing old-time folk and Americana music, particularly through their hit rendition of “Wagon Wheel.”
  • C. The Infamous Stringdusters
    The Infamous Stringdusters are an American progressive bluegrass band known for their virtuosic musicianship, genre-blending sound, and critically acclaimed recordings.
  • D. My Morning Jacket
    My Morning Jacket is an American rock band known for its expansive, reverb-heavy sound that blends indie rock, psychedelia, and country influences.
  • E. The Rosebuds
    The Rosebuds are an American indie rock band from North Carolina known for their melodic, emotionally driven songs that blend pop, rock, and folk influences.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54aaac88190b775dba2513b6d4a completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf822348190bf95f7d119c6265a completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.