Triple
T20805161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Wilma |
E512135
|
entity |
| Predicate | retiredName |
P23042
|
FINISHED |
| Object | Wilma |
—
|
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: Wilma | Statement: [Hurricane Wilma, retiredName, Wilma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilma Context triple: [Hurricane Wilma, retiredName, Wilma]
-
A.
Wilma
chosen
Wilma was a catastrophic 2005 Atlantic hurricane that became one of the most intense on record, causing widespread destruction in the Caribbean and the United States.
-
B.
Vilma
Vilma is a feminine given name used in various cultures, often as a variant of Wilma or Vilhelmina.
-
C.
Yolanda
Yolanda is a feminine given name used in various cultures, often associated with figures in the arts, activism, and public life.
-
D.
Yolandi
Yolandi is a central character in the science-fiction film "Chappie," portrayed by South African musician and actress Yolandi Visser.
-
E.
Debby
Debby is a feminine given name commonly used as a diminutive form of Deborah or Debra.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ce6420819091792ffaa3c46c53 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.