Triple

T20430079
Position Surface form Disambiguated ID Type / Status
Subject Alkaline Trio E501106 entity
Predicate hasMusicalArtist P9648 FINISHED
Object Dan Andriano 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: Dan Andriano | Statement: [Alkaline Trio, hasMusicalArtist, Dan Andriano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Andriano
Context triple: [Alkaline Trio, hasMusicalArtist, Dan Andriano]
  • A. Dan Andriano chosen
    Dan Andriano is an American musician best known as the bassist and co-lead vocalist of the punk rock band Alkaline Trio.
  • B. Daniel Nigro
    Daniel Nigro is an American songwriter and producer known for his work with prominent pop and indie artists, including co-writing and producing hits for Olivia Rodrigo.
  • C. Brice Dal Farra
    Brice Dal Farra is a film producer best known for his work on the coming-of-age drama "The Wackness."
  • D. Phil Leotardo
    Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
  • E. Ray Nazarro
    Ray Nazarro was an American film director best known for his prolific work on low-budget Westerns and action films during the 1940s and 1950s.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
Created at: April 16, 2026, 11:31 a.m.