Triple
T9233574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Belfort |
E221880
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Damien Meslot
Damien Meslot is a French politician who serves as the mayor of Belfort and has been active in national and local politics.
|
E786164
|
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: Damien Meslot | Statement: [City of Belfort, hasMayor, Damien Meslot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Meslot Context triple: [City of Belfort, hasMayor, Damien Meslot]
-
A.
Michael Mertens
Michael Mertens is a member of the German industrial metal band Propaganda.
-
B.
Michael Mertens
Michael Mertens is a writer known for his work on the character Dr. Mabuse.
-
C.
Mathias Brugman
Mathias Brugman was a prominent Puerto Rican revolutionary of Dutch-Curaçaoan descent who became one of the principal organizers and leaders of the island’s 1868 independence uprising against Spanish rule.
-
D.
Pascal Meunier
Pascal Meunier is a computer scientist known for his work in information security and privacy, particularly in secure software engineering and system protection.
-
E.
Thomas Meunier
Thomas Meunier is a Belgian professional footballer known primarily as an attacking right-back who has played for clubs such as Paris Saint-Germain and Borussia Dortmund as well as the Belgium national team.
- 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: Damien Meslot Triple: [City of Belfort, hasMayor, Damien Meslot]
Generated description
Damien Meslot is a French politician who serves as the mayor of Belfort and has been active in national and local politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damien Meslot Target entity description: Damien Meslot is a French politician who serves as the mayor of Belfort and has been active in national and local politics.
-
A.
Michael Mertens
Michael Mertens is a member of the German industrial metal band Propaganda.
-
B.
Michael Mertens
Michael Mertens is a writer known for his work on the character Dr. Mabuse.
-
C.
Mathias Brugman
Mathias Brugman was a prominent Puerto Rican revolutionary of Dutch-Curaçaoan descent who became one of the principal organizers and leaders of the island’s 1868 independence uprising against Spanish rule.
-
D.
Pascal Meunier
Pascal Meunier is a computer scientist known for his work in information security and privacy, particularly in secure software engineering and system protection.
-
E.
Thomas Meunier
Thomas Meunier is a Belgian professional footballer known primarily as an attacking right-back who has played for clubs such as Paris Saint-Germain and Borussia Dortmund as well as the Belgium national team.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1baa3c8190870d1e850ccab1e0 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077bb5b10819083fd2de3ed7d69a4 |
completed | April 4, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_69d079227348819083cc2c1bb36831f0 |
completed | April 4, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07980eb1481909450ec1e6537587f |
completed | April 4, 2026, 2:37 a.m. |
Created at: March 30, 2026, 7:29 p.m.