Triple
T5276903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm |
E119392
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Storm |
unclear NED1
|
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: [Storm, alias, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [Storm, alias, Storm]
-
A.
Storm
Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather.
-
B.
Storm
Storm is a professional rugby league club based in Melbourne, Australia, that competes in the National Rugby League (NRL).
-
C.
Storm
Storm is the middle name of Benjamin Keough, the late grandson of Elvis Presley and son of Lisa Marie Presley.
-
D.
Cyclone
Cyclone is the nickname of early 20th-century Canadian ice hockey legend Cyclone Taylor, renowned as one of the sport’s first great rushing defensemen.
-
E.
Cyclone
Cyclone is a statically typed, safe dialect of C designed to prevent common programming errors such as buffer overflows and memory leaks while retaining low-level control.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8472bee08190a42d8f4714965d95 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10d839dc8190a9f63740c6bd31a0 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:51 p.m.