Triple
T2815090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrin |
E54262
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Bernard Perrin
Bernard Perrin is a French former professional footballer who played as a midfielder, notably for clubs such as Olympique Lyonnais in the 1970s.
|
E316680
|
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: Bernard Perrin | Statement: [Perrin, hasNotableBearer, Bernard Perrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Perrin Context triple: [Perrin, hasNotableBearer, Bernard Perrin]
-
A.
Jean-Claude Perrin
Jean-Claude Perrin is a French former pole vaulter and athletics coach known for his contributions to French track and field.
-
B.
Maurice Bailloud
Maurice Bailloud was a French sports official best known for delivering the judges' oath at the 1960 Summer Olympics in Rome.
-
C.
Jean-Luc Perrin
Jean-Luc Perrin is a French mathematician known for his contributions to number theory and arithmetic geometry.
-
D.
Jean-Marc Perrin
Jean-Marc Perrin is a person notable enough to be recognized as a namesake of the surname Perrin.
-
E.
Charles Girault
Charles Girault was a prominent French architect of the late 19th and early 20th centuries, best known for his Beaux-Arts public buildings in Paris.
- 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: Bernard Perrin Triple: [Perrin, hasNotableBearer, Bernard Perrin]
Generated description
Bernard Perrin is a French former professional footballer who played as a midfielder, notably for clubs such as Olympique Lyonnais in the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernard Perrin Target entity description: Bernard Perrin is a French former professional footballer who played as a midfielder, notably for clubs such as Olympique Lyonnais in the 1970s.
-
A.
Jean-Claude Perrin
Jean-Claude Perrin is a French former pole vaulter and athletics coach known for his contributions to French track and field.
-
B.
Maurice Bailloud
Maurice Bailloud was a French sports official best known for delivering the judges' oath at the 1960 Summer Olympics in Rome.
-
C.
Jean-Luc Perrin
Jean-Luc Perrin is a French mathematician known for his contributions to number theory and arithmetic geometry.
-
D.
Jean-Marc Perrin
Jean-Marc Perrin is a person notable enough to be recognized as a namesake of the surname Perrin.
-
E.
Charles Girault
Charles Girault was a prominent French architect of the late 19th and early 20th centuries, best known for his Beaux-Arts public buildings in Paris.
- 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_69b108c7cfd48190b959e60b9e7fc0fa |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10d7b6dbc8190be85296aa7eae4ec |
completed | March 11, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10ddb79f08190ad4f1d92b8ed5c05 |
completed | March 11, 2026, 6:38 a.m. |
Created at: March 6, 2026, 9:59 p.m.