Triple
T23222897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustave Jéquier |
E580939
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Jéquier
Jéquier is a French-language surname most notably associated with Swiss Egyptologist and archaeologist Gustave Jéquier.
|
E1576615
|
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: Jéquier | Statement: [Gustave Jéquier, familyName, Jéquier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jéquier Context triple: [Gustave Jéquier, familyName, Jéquier]
-
A.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
B.
Jonquière
Jonquière is a former city in Quebec, Canada, now a borough of Saguenay, known historically for its industrial development and aluminum production.
-
C.
Villeneuve
Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
-
D.
Villeneuve
Villeneuve is a small rural town located within the Somerset Region of Queensland, Australia.
-
E.
Villeneuve
Villeneuve is a French surname most notably associated with figures such as the Formula One driver Gilles Villeneuve and film director Denis Villeneuve.
- 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: Jéquier Triple: [Gustave Jéquier, familyName, Jéquier]
Generated description
Jéquier is a French-language surname most notably associated with Swiss Egyptologist and archaeologist Gustave Jéquier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jéquier Target entity description: Jéquier is a French-language surname most notably associated with Swiss Egyptologist and archaeologist Gustave Jéquier.
-
A.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
B.
Jonquière
Jonquière is a former city in Quebec, Canada, now a borough of Saguenay, known historically for its industrial development and aluminum production.
-
C.
Villeneuve
Villeneuve is a Swiss municipality on the eastern shore of Lake Geneva in the canton of Vaud, known as a lakeside gateway to the nearby Chillon Castle and the Vaud Alps.
-
D.
Villeneuve
Villeneuve is a small rural town located within the Somerset Region of Queensland, Australia.
-
E.
Villeneuve
Villeneuve is a French surname most notably associated with figures such as the Formula One driver Gilles Villeneuve and film director Denis Villeneuve.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922a452c81909b48df157643f6bd |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f4ffc3c8190a971bc5e7d362ae2 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c405be1188190b6622665e448bbe7 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40c6562481908689eca2a4997115 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:08 p.m.