Triple
T13971642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ris-Orangis |
E336077
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Stéphane Raffalli
Stéphane Raffalli is a French local politician who serves as the mayor of the suburban Paris commune of Ris-Orangis.
|
E1120390
|
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: Stéphane Raffalli | Statement: [Ris-Orangis, hasMayor, Stéphane Raffalli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stéphane Raffalli Context triple: [Ris-Orangis, hasMayor, Stéphane Raffalli]
-
A.
Stéphane Frère
Stéphane Frère is a French local politician serving as the mayor of the commune of Ribemont.
-
B.
Christophe Lourdelet
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
C.
Éric Piolle
Éric Piolle is a French Green politician known for serving as the ecologist mayor of Grenoble and promoting progressive, environmentally focused urban policies.
-
D.
François Berléand
François Berléand is a French character actor known for his prolific film and television career, often portraying authoritative or world-weary figures in dramas and thrillers.
-
E.
Éric Pliez
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
- 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: Stéphane Raffalli Triple: [Ris-Orangis, hasMayor, Stéphane Raffalli]
Generated description
Stéphane Raffalli is a French local politician who serves as the mayor of the suburban Paris commune of Ris-Orangis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stéphane Raffalli Target entity description: Stéphane Raffalli is a French local politician who serves as the mayor of the suburban Paris commune of Ris-Orangis.
-
A.
Stéphane Frère
Stéphane Frère is a French local politician serving as the mayor of the commune of Ribemont.
-
B.
Christophe Lourdelet
Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
-
C.
Éric Piolle
Éric Piolle is a French Green politician known for serving as the ecologist mayor of Grenoble and promoting progressive, environmentally focused urban policies.
-
D.
François Berléand
François Berléand is a French character actor known for his prolific film and television career, often portraying authoritative or world-weary figures in dramas and thrillers.
-
E.
Éric Pliez
Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249c57bc819089baed544fb8fead |
completed | May 8, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_69fe272e37608190b7a0db34f15f28b3 |
completed | May 8, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe278a3ff481909d98cd1bce8f867e |
completed | May 8, 2026, 6:12 p.m. |
Created at: April 9, 2026, 10:18 p.m.