Triple
T8532438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Pierre Raffarin |
E201987
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-Pierre |
E27779
|
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: Jean-Pierre | Statement: [Jean-Pierre Raffarin, givenName, Jean-Pierre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Pierre Context triple: [Jean-Pierre Raffarin, givenName, Jean-Pierre]
-
A.
Jean-Pierre
chosen
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
B.
Jean-Pierre Duprey
Jean-Pierre Duprey was a French surrealist poet, sculptor, and painter associated with the postwar Surrealist movement in Paris.
-
C.
Jean-Pierre Faye
Jean-Pierre Faye is a French writer, philosopher, and poet known for his work on narrative theory, political language, and his involvement in avant-garde literary movements.
-
D.
Xavier Fabre
Xavier Fabre is a French architect known for designing prominent cultural venues, including the Mariinsky Concert Hall in Saint Petersburg.
-
E.
Gérard
Gérard is a French given name, equivalent to the Germanic name Gerhard, commonly used in French-speaking countries.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb71c81881909e7b9e84d2601949 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:17 p.m.