Triple
T14779928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahoudeau |
E347363
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Gagnière
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
|
E1119003
|
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: Gagnière | Statement: [Mahoudeau, associatedWith, Gagnière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gagnière Context triple: [Mahoudeau, associatedWith, Gagnière]
-
A.
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
B.
Rebecq
Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
-
C.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
D.
Laveissière
Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
-
E.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
- 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: Gagnière Triple: [Mahoudeau, associatedWith, Gagnière]
Generated description
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gagnière Target entity description: Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
-
A.
Guérard
Guérard is a small commune in the Seine-et-Marne department in north-central France, known for its rural character and proximity to the Paris metropolitan area.
-
B.
Rebecq
Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
-
C.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
D.
Laveissière
Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
-
E.
Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d00d46c8190b6289a9b8511a8fb |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe17e255408190b1155c06854715ea |
completed | May 8, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1865a1d8819085d62375ab6cccfe |
completed | May 8, 2026, 5:07 p.m. |
Created at: April 10, 2026, 1:31 a.m.