Triple
T10694815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabien Roussel |
E252107
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fabien Roussel |
E252107
|
NE FINISHED |
How this triple was built (2 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: Fabien Roussel | Statement: [Fabien Roussel, name, Fabien Roussel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabien Roussel Context triple: [Fabien Roussel, name, Fabien Roussel]
-
A.
Fabien Roussel
chosen
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
B.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
C.
Olivier Basselin
Olivier Basselin was a 15th-century French poet and songwriter from Normandy, known for his drinking songs and influence on the tradition of French popular poetry.
-
D.
Julien Bertheau
Julien Bertheau was a French actor known for his work in both classical theatre, particularly with the Comédie-Française, and in notable films by directors such as Luis Buñuel.
-
E.
Laurent Mauvignier
Laurent Mauvignier is a contemporary French novelist known for his psychologically intense, formally innovative works that often explore trauma, memory, and social marginalization.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e6afdf0c8190924cb14512a89ee8 |
completed | April 18, 2026, 8:16 p.m. |
Created at: April 8, 2026, 9:11 p.m.