Triple
T22126104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am |
E546793
|
entity |
| Predicate | notableTrack |
P8087
|
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: [I Am, notableTrack, Thunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder Context triple: [I Am, notableTrack, 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
Thunder was the nickname of Teslim Balogun, a renowned Nigerian footballer celebrated for his powerful playing style and prolific goal-scoring.
-
C.
Thunder
Thunder is a British hard rock band formed in the late 1980s, known for its melodic, blues-influenced sound and energetic live performances.
-
D.
Thunder
chosen
"Thunder" is a pop ballad by English singer-songwriter Jessie J, released as a single from her second studio album "Alive."
-
E.
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.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.