Triple

T3930042
Position Surface form Disambiguated ID Type / Status
Subject Snow Patrol E93371 entity
Predicate hasHitSingle P15293 FINISHED
Object Signal Fire E399244 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: Signal Fire | Statement: [Snow Patrol, hasHitSingle, Signal Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Signal Fire
Context triple: [Snow Patrol, hasHitSingle, Signal Fire]
  • A. Signal Fire chosen
    "Signal Fire" is a 2007 alternative rock song by Snow Patrol, best known for its inclusion on the soundtrack of the film Spider-Man 3.
  • B. Fire on the Mountain
    "Fire on the Mountain" is a popular Grateful Dead song known for its extended live improvisations and distinctive, hypnotic groove.
  • C. Lighthouse
    Lighthouse is an open-source Ethereum consensus client, written in Rust and maintained by Sigma Prime, that focuses on security, performance, and efficient participation in Ethereum’s proof-of-stake network.
  • D. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • E. Fire!!
    Fire!! was a short-lived but influential African American literary magazine of the Harlem Renaissance that showcased bold, experimental work by young Black writers and artists.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5338afa348190bc5ac0b0319c6e45 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:23 p.m.