Triple
T12596720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perron |
E300750
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nathalie Perron
Nathalie Perron is a person notable enough to be specifically cited as a bearer of the surname Perron, though detailed public information about her is limited.
|
E1002258
|
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: Nathalie Perron | Statement: [Perron, hasNotableBearer, Nathalie Perron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathalie Perron Context triple: [Perron, hasNotableBearer, Nathalie Perron]
-
A.
Marie-France Boisselle
Marie-France Boisselle is known as the wife of American actor Fred Ward.
-
B.
Élisabeth Masse
Élisabeth Masse is a French local politician serving as the mayor of the commune of Saint-André-lez-Lille in northern France.
-
C.
Dominique Fortin
Dominique Fortin is a film editor best known for her work on major feature films, including the James Bond movie "Tomorrow Never Dies."
-
D.
Dominique Demers
Dominique Demers is a Canadian author and former journalist best known for her popular children's and young adult books, including the "Mlle Charlotte" series.
-
E.
Jocelyne Larocque
Jocelyne Larocque is a Canadian ice hockey defenceman and Olympic gold medallist known for her long-standing role with the Canadian national women’s team.
- 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: Nathalie Perron Triple: [Perron, hasNotableBearer, Nathalie Perron]
Generated description
Nathalie Perron is a person notable enough to be specifically cited as a bearer of the surname Perron, though detailed public information about her is limited.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathalie Perron Target entity description: Nathalie Perron is a person notable enough to be specifically cited as a bearer of the surname Perron, though detailed public information about her is limited.
-
A.
Marie-France Boisselle
Marie-France Boisselle is known as the wife of American actor Fred Ward.
-
B.
Élisabeth Masse
Élisabeth Masse is a French local politician serving as the mayor of the commune of Saint-André-lez-Lille in northern France.
-
C.
Dominique Fortin
Dominique Fortin is a film editor best known for her work on major feature films, including the James Bond movie "Tomorrow Never Dies."
-
D.
Dominique Demers
Dominique Demers is a Canadian author and former journalist best known for her popular children's and young adult books, including the "Mlle Charlotte" series.
-
E.
Jocelyne Larocque
Jocelyne Larocque is a Canadian ice hockey defenceman and Olympic gold medallist known for her long-standing role with the Canadian national women’s team.
- 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_69f684d8b8d081908f271e75e6472914 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f687fffe9c81909c58129162a0c231 |
completed | May 2, 2026, 11:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f688cc57048190ba7bacdcd6c0c182 |
completed | May 2, 2026, 11:29 p.m. |
Created at: April 9, 2026, 5:08 p.m.