Triple
T9826538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rully |
E238667
|
entity |
| Predicate | grapeVarietyAllowedRed |
P37246
|
FINISHED |
| Object | Pinot Liebault |
E182517
|
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: Pinot Liebault | Statement: [Rully, grapeVarietyAllowedRed, Pinot Liebault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinot Liebault Context triple: [Rully, grapeVarietyAllowedRed, Pinot Liebault]
-
A.
Pierre-Roger
Pierre-Roger is the given name of Pierre-Roger Ducos, a French politician who played a significant role during the French Revolution and the early Napoleonic era.
-
B.
Anne Ponsarde
Anne Ponsarde was the wife of the 16th-century French astrologer and seer Nostradamus.
-
C.
Chardonne
Chardonne is a Swiss municipality in the canton of Vaud, known for its hillside vineyards overlooking Lake Geneva and views of the Alps.
-
D.
Pinot Noir Liébault
chosen
Pinot Noir Liébault is a traditional French Pinot Noir grape clone known for producing particularly elegant, aromatic red wines with fine structure.
-
E.
Darcy Rhone
Darcy Rhone is a glamorous, self-centered New York socialite whose complicated friendships and romantic entanglements drive the drama in Emily Giffin’s novel "Something Borrowed."
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc88a86c819088f259a049eec4db |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.