Triple
T1367809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Paul Agon |
E30042
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-Paul |
E112550
|
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-Paul | Statement: [Jean-Paul Agon, givenName, Jean-Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Paul Context triple: [Jean-Paul Agon, givenName, Jean-Paul]
-
A.
Jean-Paul
chosen
Jean-Paul is a masculine French given name most famously borne by the revolutionary leader and journalist Jean-Paul Marat.
-
B.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
-
C.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
-
D.
Gabriel-François Doyen
Gabriel-François Doyen was an 18th-century French painter known for his dramatic religious and historical compositions within the Rococo and early Neoclassical traditions.
-
E.
Philippe Claudel
Philippe Claudel is a French novelist, screenwriter, and film director best known for works such as "Il y a longtemps que je t'aime" ("I've Loved You So Long").
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d497f88190993d16a208ced43d |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce788098819087a046e10966b7e9 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:57 p.m.