Triple
T12436163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martine Aubry |
E297148
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Aubry
Aubry is a French surname most prominently associated with Martine Aubry, a leading French politician and former First Secretary of the Socialist Party.
|
E983681
|
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: Aubry | Statement: [Martine Aubry, familyName, Aubry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubry Context triple: [Martine Aubry, familyName, Aubry]
-
A.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
B.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
C.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
D.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
-
E.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
- 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: Aubry Triple: [Martine Aubry, familyName, Aubry]
Generated description
Aubry is a French surname most prominently associated with Martine Aubry, a leading French politician and former First Secretary of the Socialist Party.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aubry Target entity description: Aubry is a French surname most prominently associated with Martine Aubry, a leading French politician and former First Secretary of the Socialist Party.
-
A.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
B.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
C.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
D.
Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
-
E.
Arlay
Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f06d16481909ed2eb5195ebd7e4 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:55 p.m.