Triple
T21440821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God & Guns |
E528933
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Storm |
—
|
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: Storm | Statement: [God & Guns, hasTrack, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [God & Guns, hasTrack, Storm]
-
A.
Storm
Storm is a 2009 European drama film starring Anamaria Marinca that follows a war crimes trial at the International Criminal Tribunal in The Hague.
-
B.
Storm
Storm is the athletic mascot representing Simpson College’s sports teams.
-
C.
Storm
Storm is a professional rugby league club based in Melbourne, Australia, that competes in the National Rugby League (NRL).
-
D.
Storm
chosen
"Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
-
E.
Storm
Storm is the short name of the Guelph Storm, a major junior ice hockey team in the Ontario Hockey League based in Guelph, Ontario, Canada.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.