Triple
T12010666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Sevez |
E285895
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sevez
Sevez is a French surname most notably borne by François Sevez, a French general.
|
E960566
|
NE FINISHED |
How this triple was built (4 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: Sevez | Statement: [François Sevez, familyName, Sevez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevez Context triple: [François Sevez, familyName, Sevez]
-
A.
Sévaz
Sévaz is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Sesia
The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
-
C.
Yerre
The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
-
D.
Verges
Verges is a minor comedic character in William Shakespeare's play "Much Ado About Nothing," serving as the bumbling assistant to the constable Dogberry.
-
E.
Vézina
Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sevez Triple: [François Sevez, familyName, Sevez]
Generated description
Sevez is a French surname most notably borne by François Sevez, a French general.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sevez Target entity description: Sevez is a French surname most notably borne by François Sevez, a French general.
-
A.
Sévaz
Sévaz is a small municipality in the canton of Fribourg in western Switzerland.
-
B.
Sesia
The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po River.
-
C.
Yerre
The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
-
D.
Verges
Verges is a minor comedic character in William Shakespeare's play "Much Ado About Nothing," serving as the bumbling assistant to the constable Dogberry.
-
E.
Vézina
Vézina is a French-Canadian surname most famously associated with Georges Vézina, the legendary early 20th-century ice hockey goaltender and namesake of the NHL’s Vezina Trophy.
- F. None of above. chosen
Provenance (5 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b363c6481908c8414c1eecc14f5 |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f48fc6da4c81908442f18cb4a65b27 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495cc50908190aab4f8ca64c66ef3 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:46 p.m.