Triple

T19645244
Position Surface form Disambiguated ID Type / Status
Subject Old Blue E471654 entity
Predicate hasPerformer P5936 FINISHED
Object Iron & Wine 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: Iron & Wine | Statement: [Old Blue, hasPerformer, Iron & Wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iron & Wine
Context triple: [Old Blue, hasPerformer, Iron & Wine]
  • A. Iron & Wine chosen
    Iron & Wine is the stage name of American singer-songwriter Sam Beam, known for his intimate, folk-inspired music and hushed vocal style.
  • B. Red House Painters
    Red House Painters were an American slowcore band formed by singer-songwriter Mark Kozelek, known for their melancholic, atmospheric sound and emotionally introspective lyrics.
  • C. Kevin Morby
    Kevin Morby is an American singer-songwriter and musician known for his introspective indie rock and folk-influenced albums.
  • D. Curt Vile
    Curt Vile is a pseudonym used by British comic book writer Alan Moore, particularly early in his career for humorous and experimental work.
  • E. Eric Brighteyes
    Eric Brighteyes is an 1891 Icelandic-set adventure novel by H. Rider Haggard that blends Viking-era romance, heroism, and saga-style storytelling.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6412452d481908b6946cad3c411d5 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.