Triple
T10436010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy Douby |
E246040
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Douby |
E246040
|
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: Douby | Statement: [Quincy Douby, familyName, Douby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douby Context triple: [Quincy Douby, familyName, Douby]
-
A.
Douby
chosen
Douby is the surname of Quincy Douby, a former professional basketball player who competed in the NBA and internationally.
-
B.
Douby
Douby is a specific vineyard locality (lieu-dit) within the Morgon appellation of France’s Beaujolais wine region, known for contributing to the character of its Gamay-based wines.
-
C.
Mulde
The Mulde is a river in central Germany that flows through the state of Saxony and is formed by the confluence of the Zwickauer Mulde and Freiberger Mulde.
-
D.
Lysva
Lysva is an industrial city in Perm Krai, Russia, historically known for its metallurgical and machine-building industries.
-
E.
Oderberg
Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea843f1c8190afca4a42bc364468 |
completed | April 7, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ec1a0908190b5369ad55cf2bcb1 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.