Triple
T3215578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massy |
E67386
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Nicolas Samsoen
Nicolas Samsoen is a French politician who serves as the mayor of the suburban Parisian commune of Massy.
|
E337190
|
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: Nicolas Samsoen | Statement: [Massy, hasMayor, Nicolas Samsoen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Samsoen Context triple: [Massy, hasMayor, Nicolas Samsoen]
-
A.
Jean-Philippe Vassal
Jean-Philippe Vassal is a prominent French architect, best known as co-founder of the firm Lacaton & Vassal and for his innovative, socially conscious housing and renovation projects.
-
B.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
C.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
D.
Vincent Cahay
Vincent Cahay is a Belgian composer and musician known for his film scores, particularly in collaboration with director Fabrice du Welz.
-
E.
Bernard Sasia
Bernard Sasia is a French film editor known for his work on numerous acclaimed European films, including "Monsieur Ibrahim."
- 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: Nicolas Samsoen Triple: [Massy, hasMayor, Nicolas Samsoen]
Generated description
Nicolas Samsoen is a French politician who serves as the mayor of the suburban Parisian commune of Massy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicolas Samsoen Target entity description: Nicolas Samsoen is a French politician who serves as the mayor of the suburban Parisian commune of Massy.
-
A.
Jean-Philippe Vassal
Jean-Philippe Vassal is a prominent French architect, best known as co-founder of the firm Lacaton & Vassal and for his innovative, socially conscious housing and renovation projects.
-
B.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
C.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
D.
Vincent Cahay
Vincent Cahay is a Belgian composer and musician known for his film scores, particularly in collaboration with director Fabrice du Welz.
-
E.
Bernard Sasia
Bernard Sasia is a French film editor known for his work on numerous acclaimed European films, including "Monsieur Ibrahim."
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab085a408190af9fb40acca31a5f |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2623c90cc819085a94adfe3eb3f3f |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2630060288190b0cf236863a5bb69 |
completed | March 12, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b264cbe2a48190baad7f335cdc37ba |
completed | March 12, 2026, 7:01 a.m. |
Created at: March 8, 2026, 3:07 p.m.