Triple
T11700203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribemont |
E278102
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Stéphane Frère
Stéphane Frère is a French local politician serving as the mayor of the commune of Ribemont.
|
E1105695
|
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 Frère | Statement: [Ribemont, hasMayor, Stéphane Frère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stéphane Frère Context triple: [Ribemont, hasMayor, Stéphane Frère]
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
-
D.
Philippe Martinaud
Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
-
E.
Denis Ménochet
Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
- 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 Frère Triple: [Ribemont, hasMayor, Stéphane Frère]
Generated description
Stéphane Frère is a French local politician serving as the mayor of the commune of Ribemont.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stéphane Frère Target entity description: Stéphane Frère is a French local politician serving as the mayor of the commune of Ribemont.
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Stéphane Loda
Stéphane Loda is a French local politician who serves as the mayor of the Mediterranean coastal commune of Canet-en-Roussillon.
-
D.
Philippe Martinaud
Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
-
E.
Denis Ménochet
Denis Ménochet is a French actor known for his intense screen presence in films such as Inglourious Basterds, Custody, and various international productions.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49a025881909377c81d3debf465 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8a9a12008190a86d8e11bf86d536 |
completed | May 8, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_69fd8bf77e08819080d7df36e4897b61 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8c8859b08190857db55e36f2a11a |
completed | May 8, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:40 p.m.