Triple
T16575227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maud du Puy Darwin |
E402692
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | du Puy |
E368930
|
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: du Puy | Statement: [Maud du Puy Darwin, familyName, du Puy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: du Puy Context triple: [Maud du Puy Darwin, familyName, du Puy]
-
A.
du Puy
chosen
du Puy is a French-origin surname historically associated with figures such as Maud du Puy, wife of the 12th-century English noble William Marshal.
-
B.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
C.
de Rochechouart
De Rochechouart is the name of an old French noble family historically associated with the aristocracy and the royal court.
-
D.
Parempuyre
Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
-
E.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595cb65481909be62a52deff3d44 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eea409c8190808170a0b3f4bd17 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.