Triple
T14346222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyview High School |
E355727
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Storm |
E789770
|
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: Storm | Statement: [Skyview High School, mascot, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [Skyview High School, mascot, Storm]
-
A.
Storm
"Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
-
B.
Storm
Storm is a common surname shared by various real and fictional individuals, notably including members of the superhero team the Fantastic Four.
-
C.
Storm
Storm was a professional arena football team based in Tampa Bay, Florida, that competed in the Arena Football League.
-
D.
Storm
chosen
Storm is the short name of the Lake Elsinore Storm, a Minor League Baseball team based in Lake Elsinore, California.
-
E.
Storm
"Storm" is a contemporary musical composition by British composer Judith Weir, reflecting her distinctive modern classical style and narrative-driven approach to writing.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4145c081909832e2334a064fb0 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.