Triple

T16508178
Position Surface form Disambiguated ID Type / Status
Subject Paul Wilson E400984 entity
Predicate associatedAct P37 FINISHED
Object Snow Patrol 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: Snow Patrol | Statement: [Paul Wilson, associatedAct, Snow Patrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snow Patrol
Context triple: [Paul Wilson, associatedAct, Snow Patrol]
  • A. Snow Patrol chosen
    Snow Patrol is a Northern Irish-Scottish rock band best known for their melodic, emotionally charged songs such as "Chasing Cars" and "Run."
  • B. Stereophonics
    Stereophonics is a Welsh rock band known for their gritty guitar sound and hit songs like "Dakota" and "Have a Nice Day."
  • C. Biffy Clyro
    Biffy Clyro is a Scottish alternative rock band known for their dynamic sound, complex song structures, and energetic live performances.
  • D. Maxïmo Park
    Maxïmo Park is an English indie rock band from Newcastle upon Tyne known for their energetic, angular guitar sound and literate, emotionally charged lyrics.
  • E. Two Door Cinema Club
    Two Door Cinema Club is a Northern Irish indie rock band known for their catchy, danceable guitar-driven sound and albums like "Tourist History."
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54331c8190b3c4f9de95cbbc5e completed April 18, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:14 a.m.