Triple
T12846510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corbeil-Essonnes |
E307189
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Bruno Piriou
Bruno Piriou is a French left-wing politician known for serving as mayor of the Paris-region city of Corbeil-Essonnes.
|
E1040197
|
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: Bruno Piriou | Statement: [Corbeil-Essonnes, hasMayor, Bruno Piriou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Piriou Context triple: [Corbeil-Essonnes, hasMayor, Bruno Piriou]
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
C.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
D.
Édouard Riou
Édouard Riou was a 19th-century French illustrator best known for his detailed engravings in Jules Verne’s adventure novels.
-
E.
Pierre Chambiges
Pierre Chambiges was a prominent 16th-century French Renaissance architect best known for his influential work on major Parisian civic and religious buildings.
- 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: Bruno Piriou Triple: [Corbeil-Essonnes, hasMayor, Bruno Piriou]
Generated description
Bruno Piriou is a French left-wing politician known for serving as mayor of the Paris-region city of Corbeil-Essonnes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruno Piriou Target entity description: Bruno Piriou is a French left-wing politician known for serving as mayor of the Paris-region city of Corbeil-Essonnes.
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
C.
Benoît Delhomme
Benoît Delhomme is a French cinematographer known for his visually distinctive work on international films such as The Scent of Green Papaya, The Theory of Everything, and Lawless.
-
D.
Édouard Riou
Édouard Riou was a 19th-century French illustrator best known for his detailed engravings in Jules Verne’s adventure novels.
-
E.
Pierre Chambiges
Pierre Chambiges was a prominent 16th-century French Renaissance architect best known for his influential work on major Parisian civic and religious buildings.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7396b901c81908bfac5b40e3caed4 |
completed | May 3, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69f73af2b37481908c4d282c1335fe08 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b959de88190959335353242031b |
completed | May 3, 2026, 12:12 p.m. |
Created at: April 9, 2026, 5:36 p.m.