Triple
T21636670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Winelands of France |
E533977
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Richard Selley |
—
|
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: Richard Selley | Statement: [The Winelands of France, author, Richard Selley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Selley Context triple: [The Winelands of France, author, Richard Selley]
-
A.
Richard Selley
chosen
Richard Selley is a British geologist and petroleum sedimentologist known for his influential work on sedimentary basins and hydrocarbon exploration.
-
B.
Gavin Elster
Gavin Elster is a wealthy, manipulative shipyard owner and the primary antagonist in Alfred Hitchcock’s film "Vertigo."
-
C.
Allan Jacobs
Allan Jacobs is an editor known for his work on the book "Dangerous Minds."
-
D.
Peter W. Gray
Peter W. Gray was a 19th-century Texas lawyer, judge, and politician who played a significant role in the state's early legal and political development.
-
E.
Michael Taliferro
Michael Taliferro was an American character actor and former football player known for his tough, imposing roles in action and comedy films.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538ddb088190a3cba6fdc84c0ae8 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.