Triple

T10246340
Position Surface form Disambiguated ID Type / Status
Subject Sugar Symphony E240221 entity
Predicate hasTrack P3284 FINISHED
Object Thunder E359292 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: Thunder | Statement: [Sugar Symphony, hasTrack, Thunder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder
Context triple: [Sugar Symphony, hasTrack, Thunder]
  • A. Thunder
    Thunder is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
  • B. Thunder chosen
    "Thunder" is a pop ballad by English singer-songwriter Jessie J, released as a single from her second studio album "Alive."
  • C. Thunder
    Thunder is the popular nickname for Thunder Over Louisville, a large annual fireworks and airshow event that serves as the kickoff to the Kentucky Derby Festival in Louisville, Kentucky.
  • D. Thunder
    "Thunder" is a 2017 pop-rock song by Imagine Dragons known for its minimalist production, heavy percussion, and anthemic, self-empowerment lyrics.
  • E. Thunder
    Thunder is the explosive sound produced by the rapid expansion of air surrounding a lightning bolt during a storm.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22cfe1c8190afae178e11a59b8b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7a597188190880200d13784f18f completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.