Triple
T20786303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontorson |
E511646
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
André Valentin
André Valentin is a French local politician who serves as the mayor of the commune of Pontorson in northwestern France.
|
E1450827
|
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: André Valentin | Statement: [Pontorson, hasMayor, André Valentin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Valentin Context triple: [Pontorson, hasMayor, André Valentin]
-
A.
André Daina
André Daina is a Swiss former football referee best known for officiating major European club competitions in the 1980s.
-
B.
André Pascal
André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
-
C.
Pierre Vago
Pierre Vago was a prominent 20th-century French architect and urban planner known for his modernist designs and influential role in international architectural organizations.
-
D.
Henri Bosco
Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
-
E.
Victor André
Victor André was a French actor known for appearing in early silent films, including Georges Méliès’s pioneering 1902 science-fiction short "A Trip to the Moon."
- 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: André Valentin Triple: [Pontorson, hasMayor, André Valentin]
Generated description
André Valentin is a French local politician who serves as the mayor of the commune of Pontorson in northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: André Valentin Target entity description: André Valentin is a French local politician who serves as the mayor of the commune of Pontorson in northwestern France.
-
A.
André Daina
André Daina is a Swiss former football referee best known for officiating major European club competitions in the 1980s.
-
B.
André Pascal
André Pascal was a notable French figure, likely a politician or public servant, after whom Rue André Pascal in Paris is named.
-
C.
Pierre Vago
Pierre Vago was a prominent 20th-century French architect and urban planner known for his modernist designs and influential role in international architectural organizations.
-
D.
Henri Bosco
Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
-
E.
Victor André
Victor André was a French actor known for appearing in early silent films, including Georges Méliès’s pioneering 1902 science-fiction short "A Trip to the Moon."
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8b894a88190be0ae6cc8bc58ee3 |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9b7171c819099e6c1f3740a6657 |
completed | May 16, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08fa2a8c448190b7a8507925777055 |
completed | May 16, 2026, 11:13 p.m. |
Created at: April 16, 2026, 12:38 p.m.