Triple
T20698293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Marie |
E508710
|
entity |
| Predicate | associatedWith |
P37
|
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: [Anna Marie, associatedWith, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [Anna Marie, associatedWith, Storm]
-
A.
Storm
Storm is a professional rugby league club based in Melbourne, Australia, that competes in the National Rugby League (NRL).
-
B.
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.
-
C.
Storm
Storm is a film project on which Academy Award–winning cinematographer Linus Sandgren contributed his visual expertise.
-
D.
Storm
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. chosen
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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1132178819081086e085f7b3ff8 |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:11 p.m.