Triple
T12596714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perron |
E300750
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Claude Perron
Claude Perron is a French actress known for her roles in films such as "Amélie" and the television series "WorkinGirls."
|
E1082127
|
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: Claude Perron | Statement: [Perron, hasNotableBearer, Claude Perron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude Perron Context triple: [Perron, hasNotableBearer, Claude Perron]
-
A.
Serge Perron
Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
-
B.
Paul Perron
Paul Perron is a Canadian scholar and professor known for his work in French literature, semiotics, and literary theory.
-
C.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
D.
Denis Vachon
Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
-
E.
Raoul Perron
Raoul Perron is a person notable enough to be recognized as a significant bearer of the surname Perron, though specific widely known biographical details about him are not clearly established.
- 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: Claude Perron Triple: [Perron, hasNotableBearer, Claude Perron]
Generated description
Claude Perron is a French actress known for her roles in films such as "Amélie" and the television series "WorkinGirls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claude Perron Target entity description: Claude Perron is a French actress known for her roles in films such as "Amélie" and the television series "WorkinGirls."
-
A.
Serge Perron
Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
-
B.
Paul Perron
Paul Perron is a Canadian scholar and professor known for his work in French literature, semiotics, and literary theory.
-
C.
Michel Auclair
Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
-
D.
Denis Vachon
Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
-
E.
Raoul Perron
Raoul Perron is a person notable enough to be recognized as a significant bearer of the surname Perron, though specific widely known biographical details about him are not clearly established.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cf33b88190bff339fcd3142cc8 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdee6798c8190b2b47082cf0c32fb |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 5:08 p.m.