Triple
T13954838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Stormare |
E335627
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Storm |
E1016335
|
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: [Peter Stormare, familyName, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [Peter Stormare, familyName, 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
chosen
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 is a professional rugby league club based in Melbourne, Australia, that competes in the National Rugby League (NRL).
-
D.
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.
-
E.
Storm
Storm is a film project on which Academy Award–winning cinematographer Linus Sandgren contributed his visual expertise.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d0735c81909ec0eab090af08a1 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.