Triple
T2737557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twista |
E60664
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Wetter |
E293980
|
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: Wetter | Statement: [Twista, notableSingle, Wetter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wetter Context triple: [Twista, notableSingle, Wetter]
-
A.
Wetter
chosen
"Wetter" is a popular 2009 hip hop and R&B single by American rapper Twista, known for its sensual lyrics and smooth, melodic production.
-
B.
Strange Weather
Strange Weather is a collection of four horror and dark fantasy novellas by Joe Hill that explore unsettling, supernatural twists on everyday life.
-
C.
Wea
The Wea were a Native American tribe of the Algonquian-speaking Miami confederacy, historically located in the Great Lakes region and involved in early 19th-century resistance to U.S. expansion.
-
D.
Rains
Rains is the surname of English actor Claude Rains, renowned for his roles in classic films such as "Casablanca" and "The Invisible Man."
-
E.
Weather Book
Weather Book is a 19th-century meteorological work by Admiral Robert FitzRoy that explains weather forecasting and atmospheric science for sailors and the general public.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb12e03c8190b270c814ce47b626 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbc607d88190bc35ce56ac26dbf9 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.