Triple
T22239895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Pinault |
E549691
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
La Chapelle-Bouëxic
La Chapelle-Bouëxic is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
|
E1558355
|
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: La Chapelle-Bouëxic | Statement: [François Pinault, placeOfBirth, La Chapelle-Bouëxic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Chapelle-Bouëxic Context triple: [François Pinault, placeOfBirth, La Chapelle-Bouëxic]
-
A.
Crépieux-la-Pape
Crépieux-la-Pape was a former French commune near Lyon that later became part of the merged municipality of Rillieux-la-Pape.
-
B.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
C.
Buais-les-Monts
Buais-les-Monts is a rural commune in the Manche department of northwestern France, known for its agricultural landscape and small-village character.
-
D.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
-
E.
Chassepierre
Chassepierre is a picturesque village in southern Belgium, renowned for its scenic setting along the Semois River and its annual international street arts festival.
- 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: La Chapelle-Bouëxic Triple: [François Pinault, placeOfBirth, La Chapelle-Bouëxic]
Generated description
La Chapelle-Bouëxic is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Chapelle-Bouëxic Target entity description: La Chapelle-Bouëxic is a small commune in the Ille-et-Vilaine department of Brittany in northwestern France.
-
A.
Crépieux-la-Pape
Crépieux-la-Pape was a former French commune near Lyon that later became part of the merged municipality of Rillieux-la-Pape.
-
B.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
C.
Buais-les-Monts
Buais-les-Monts is a rural commune in the Manche department of northwestern France, known for its agricultural landscape and small-village character.
-
D.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
-
E.
Chassepierre
Chassepierre is a picturesque village in southern Belgium, renowned for its scenic setting along the Semois River and its annual international street arts festival.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae70e3288190b569b4221214e6db |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf48d4c481909268ad4c6b4ff67a |
completed | May 19, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafae553c8190a7426ba56b60f147 |
completed | May 19, 2026, 12:32 a.m. |
Created at: April 16, 2026, 8:38 p.m.