Triple
T15616518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Savoye |
E375425
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Savoye |
E375425
|
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: Savoye | Statement: [Pierre Savoye, familyName, Savoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savoye Context triple: [Pierre Savoye, familyName, Savoye]
-
A.
Savoye
chosen
Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
-
B.
Lubersac
Lubersac is a small commune in the Corrèze department of south-central France, known for its rural character and traditional Limousin heritage.
-
C.
Thoiry
Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
D.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
-
E.
Noailles
Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758380d08190bfe73d3e052c1f0a |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 4:13 a.m.