Triple
T14487819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Ellen Cornish |
E359282
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Thunder |
E596466
|
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: [Jessica Ellen Cornish, notableWork, Thunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder Context triple: [Jessica Ellen Cornish, notableWork, Thunder]
-
A.
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.
-
B.
Thunder
chosen
"Thunder" is a 2017 pop-rock song by Imagine Dragons known for its minimalist production, heavy percussion, and anthemic, self-empowerment lyrics.
-
C.
Thunder
Thunder is the explosive sound produced by the rapid expansion of air surrounding a lightning bolt during a storm.
-
D.
Thunder
Thunder is a song by Prince and The New Power Generation from the 1991 album "Diamonds and Pearls."
-
E.
Thunder
Thunder is the costumed mascot character for the Sioux Falls Skyforce professional basketball team.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8f1bf081908c37f8f41767b382 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.