Triple
T11186393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Pierre Boyer |
E264678
|
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 Boyer, givenName, Jean-Pierre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Pierre Context triple: [Jean-Pierre Boyer, givenName, Jean-Pierre]
-
A.
Jean-Pierre
chosen
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
B.
Jean-Claude Petit
Jean-Claude Petit is a French composer and arranger best known for his film scores and collaborations with prominent European directors.
-
C.
Jean-Pierre Olivier
Jean-Pierre Olivier is a scholar and epigrapher known for his research on Aegean scripts, particularly the undeciphered Cretan hieroglyphs.
-
D.
Jean-Pierre Duprey
Jean-Pierre Duprey was a French surrealist poet, sculptor, and painter associated with the postwar Surrealist movement in Paris.
-
E.
Hervé
Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8abbeac8190ad6e419258999f4e |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4acf79b748190b117355f60c8c015 |
completed | April 19, 2026, 10:22 a.m. |
Created at: April 8, 2026, 9:29 p.m.