Triple
T14760693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Emmanuel Perrin |
E346851
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean-Emmanuel Perrin |
E346851
|
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-Emmanuel Perrin | Statement: [Jean-Emmanuel Perrin, name, Jean-Emmanuel Perrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Emmanuel Perrin Context triple: [Jean-Emmanuel Perrin, name, Jean-Emmanuel Perrin]
-
A.
Jean-Emmanuel Perrin
chosen
Jean-Emmanuel Perrin is a notable individual recognized as a namesake of the surname Perrin.
-
B.
Jean-Christophe Perrin
Jean-Christophe Perrin is a person notable enough to be recognized as a prominent bearer of the surname Perrin.
-
C.
Jean-Antoine Perrin
Jean-Antoine Perrin is a French painter known for his 19th-century works, particularly portraits and historical scenes.
-
D.
Jean-Nicolas Perrin
Jean-Nicolas Perrin is a French winemaker and member of the Perrin family, known for producing acclaimed Rhône Valley wines such as Château de Beaucastel.
-
E.
Jean-Pierre Perrin
Jean-Pierre Perrin is a French mathematician known for his contributions to number theory and arithmetic geometry.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cefb7c08190bf69b15165f046d0 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.