Triple
T2815116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrin |
E54262
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E334750
|
NE FINISHED |
How this triple was built (4 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-Nicolas Perrin | Statement: [Perrin, hasNotableBearer, Jean-Nicolas Perrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Nicolas Perrin Context triple: [Perrin, hasNotableBearer, Jean-Nicolas Perrin]
-
A.
Jean-François Perrin
Jean-François Perrin is a notable individual who carries the French surname Perrin, recognized for his contributions in his professional field.
-
B.
Jean-Louis Perrin
Jean-Louis Perrin is an individual notable enough to be recognized as a distinguished bearer of the surname Perrin.
-
C.
Jean-Christophe Perrin
Jean-Christophe Perrin is a person notable enough to be recognized as a prominent bearer of the surname Perrin.
-
D.
Jean-René Perrin
Jean-René Perrin is a notable individual recognized as a prominent bearer of the surname Perrin.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jean-Nicolas Perrin Triple: [Perrin, hasNotableBearer, Jean-Nicolas Perrin]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Nicolas Perrin Target entity description: 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.
-
A.
Jean-François Perrin
Jean-François Perrin is a notable individual who carries the French surname Perrin, recognized for his contributions in his professional field.
-
B.
Jean-Louis Perrin
Jean-Louis Perrin is an individual notable enough to be recognized as a distinguished bearer of the surname Perrin.
-
C.
Jean-Christophe Perrin
Jean-Christophe Perrin is a person notable enough to be recognized as a prominent bearer of the surname Perrin.
-
D.
Jean-René Perrin
Jean-René Perrin is a notable individual recognized as a prominent bearer of the surname Perrin.
-
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. chosen
Provenance (5 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4d29488190a32461906dd9ea7e |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24af876288190ae21a1f434768e0d |
completed | March 12, 2026, 5:11 a.m. |
| NEDg | Description generation | batch_69b24cc38b34819097ede8e780c47d33 |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d6a57bc8190af6f46bb9756227f |
completed | March 12, 2026, 5:21 a.m. |
Created at: March 6, 2026, 9:59 p.m.