Triple
T19998039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Winer |
E494246
|
entity |
| Predicate | hasTwitterHandle |
P2943
|
FINISHED |
| Object | @davewiner |
—
|
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: @davewiner | Statement: [Dave Winer, hasTwitterHandle, @davewiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @davewiner Context triple: [Dave Winer, hasTwitterHandle, @davewiner]
-
A.
@davewiner
chosen
@davewiner is the Twitter handle of Dave Winer, a software developer and blogger known for pioneering RSS and early blogging technologies.
-
B.
Jason Winer
Jason Winer is an American television director and producer best known for his work on the hit sitcom "Modern Family" and various other comedy series.
-
C.
Dave Wasson
Dave Wasson is an American animator, director, and producer known for his work on television series such as Star vs. the Forces of Evil and other animated projects.
-
D.
David Beme
David Beme is a French local politician who serves as the mayor of the commune of Digoin in eastern France.
-
E.
Jeff Wincott
Jeff Wincott is a Canadian actor and martial artist known for his roles in action films and television series.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe6827481909469129feb9aad91 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:32 p.m.