Triple

T10010125
Position Surface form Disambiguated ID Type / Status
Subject Relient K E198349 entity
Predicate notableWork P4 FINISHED
Object Relient K E198349 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: Relient K | Statement: [Relient K, notableWork, Relient K]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Relient K
Context triple: [Relient K, notableWork, Relient K]
  • A. Relient K chosen
    Relient K is an American Christian rock band known for its pop-punk sound, witty lyrics, and numerous covers and original songs that have gained a strong following since the late 1990s.
  • B. Lagwagon
    Lagwagon is an American punk rock band from California known for its fast melodic style and influential role in the 1990s skate punk scene.
  • C. The Menzingers
    The Menzingers are an American punk rock band known for their melodic, emotionally charged songs and storytelling lyrics.
  • D. Alkaline Trio
    Alkaline Trio is an American punk rock band known for its dark, melodic sound and emotionally charged lyrics.
  • E. Sum 41
    Sum 41 is a Canadian rock band known for its energetic blend of pop punk, punk rock, and alternative metal, with hits like “Fat Lip” and “In Too Deep.”
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28211c2448190897fd4078a266154 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.