Triple
T20229166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Banisters |
E495468
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Thunder |
—
|
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: Thunder | Statement: [Blue Banisters, hasPart, Thunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder Context triple: [Blue Banisters, hasPart, Thunder]
-
A.
Thunder
Thunder is the varsity athletics team name and mascot identity for Concordia University of Edmonton’s sports programs.
-
B.
Thunder
Thunder is the name given to the Operational Maneuver Response Group, a Russian special forces unit known for high-risk counterterrorism and tactical operations.
-
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
chosen
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 (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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdc2590819089a946d16c6c0e59 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.