Triple

T18263369
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Furstenfeld E437418 entity
Predicate associatedAct P37 FINISHED
Object Blue October 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: Blue October | Statement: [Jeremy Furstenfeld, associatedAct, Blue October]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue October
Context triple: [Jeremy Furstenfeld, associatedAct, Blue October]
  • A. Blue October chosen
    Blue October is an American alternative rock band known for emotionally charged songs like "Hate Me" and "Into the Ocean."
  • B. New Found Glory
    New Found Glory is an American pop-punk band known for helping popularize the genre in the late 1990s and early 2000s with their energetic, melodic sound.
  • C. Angels & Airwaves
    Angels & Airwaves is an American rock band formed by Tom DeLonge, known for its atmospheric, space-themed sound and multimedia projects.
  • D. Breaking Benjamin
    Breaking Benjamin is an American rock band known for its heavy, melodic sound and hits like "The Diary of Jane" and "So Cold."
  • E. Young the Giant
    Young the Giant is an American indie rock band known for melodic, anthemic songs like "Cough Syrup" and "My Body."
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff77882c81909774aefc57ccca3e completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.