Triple

T10027596
Position Surface form Disambiguated ID Type / Status
Subject Good Luck With Whatever E200769 entity
Predicate performer P1363 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: [Good Luck With Whatever, performer, Dawes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawes
Context triple: [Good Luck With Whatever, performer, Dawes]
  • A. Dawes chosen
    Dawes is an American folk-rock band known for its Laurel Canyon-inspired sound and introspective songwriting.
  • B. Dawes
    Dawes is an English-origin surname borne by various notable individuals across politics, military, arts, and sciences.
  • C. 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.”
  • D. The Avett Brothers
    The Avett Brothers are an American folk-rock band known for their heartfelt songwriting, close harmonies, and blending of bluegrass, country, and indie rock influences.
  • E. The Dodos
    The Dodos are an American indie rock band known for their rhythmic, percussion-driven sound and intricate guitar work.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde3c1b88190924e6158f406b453 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794653a948190899e60d18446213a completed April 9, 2026, 11:58 a.m.
Created at: March 30, 2026, 8:54 p.m.