Triple
T10797483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gradignan |
E254747
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Michel Labardin
Michel Labardin is a French local politician who serves as the mayor of the commune of Gradignan in southwestern France.
|
E1097450
|
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: Michel Labardin | Statement: [Gradignan, hasMayor, Michel Labardin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Labardin Context triple: [Gradignan, hasMayor, Michel Labardin]
-
A.
Pierre Lacotte
Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
-
B.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
-
C.
Claude Mabillard
Claude Mabillard is a Swiss engineer and roller coaster designer best known as the co-founder of the renowned roller coaster manufacturing company Bolliger & Mabillard.
-
D.
Georges Récipon
Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
-
E.
Henri Lebasque
Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
- 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: Michel Labardin Triple: [Gradignan, hasMayor, Michel Labardin]
Generated description
Michel Labardin is a French local politician who serves as the mayor of the commune of Gradignan in southwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michel Labardin Target entity description: Michel Labardin is a French local politician who serves as the mayor of the commune of Gradignan in southwestern France.
-
A.
Pierre Lacotte
Pierre Lacotte was a renowned French choreographer and ballet master celebrated for reviving and reconstructing 19th-century Romantic ballets.
-
B.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
-
C.
Claude Mabillard
Claude Mabillard is a Swiss engineer and roller coaster designer best known as the co-founder of the renowned roller coaster manufacturing company Bolliger & Mabillard.
-
D.
Georges Récipon
Georges Récipon was a French sculptor best known for his ornate allegorical sculptures and monumental works in Paris during the late 19th and early 20th centuries.
-
E.
Henri Lebasque
Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73333dc4081909faa40c10bce2735 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f264d48190be636796d694ceb1 |
completed | May 8, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fd570e482881909532000eebd169d1 |
completed | May 8, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 8, 2026, 9:17 p.m.