Triple
T13969130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagé |
E336005
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hélène Pagé
Hélène Pagé is a notable individual recognized for achievements significant enough to be associated with the surname Pagé.
|
E1084118
|
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: Hélène Pagé | Statement: [Pagé, hasNotableBearer, Hélène Pagé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hélène Pagé Context triple: [Pagé, hasNotableBearer, Hélène Pagé]
-
A.
Louise Pagé
Louise Pagé is a notable individual who shares the French-origin surname Pagé, recognized for her contributions in her respective field.
-
B.
Françoise Lespérance
Françoise Lespérance is known primarily as the spouse of renowned Canadian painter and sculptor Jean-Paul Riopelle.
-
C.
Genevieve Lacasse
Genevieve Lacasse is a Canadian ice hockey goaltender best known for her international success with Team Canada, including winning Olympic gold medals.
-
D.
Évelyne Beaudin
Évelyne Beaudin is a Canadian municipal politician who serves as the mayor of Sherbrooke, Quebec.
-
E.
Marie-France Boisselle
Marie-France Boisselle is known as the wife of American actor Fred Ward.
- 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: Hélène Pagé Triple: [Pagé, hasNotableBearer, Hélène Pagé]
Generated description
Hélène Pagé is a notable individual recognized for achievements significant enough to be associated with the surname Pagé.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hélène Pagé Target entity description: Hélène Pagé is a notable individual recognized for achievements significant enough to be associated with the surname Pagé.
-
A.
Louise Pagé
Louise Pagé is a notable individual who shares the French-origin surname Pagé, recognized for her contributions in her respective field.
-
B.
Françoise Lespérance
Françoise Lespérance is known primarily as the spouse of renowned Canadian painter and sculptor Jean-Paul Riopelle.
-
C.
Genevieve Lacasse
Genevieve Lacasse is a Canadian ice hockey goaltender best known for her international success with Team Canada, including winning Olympic gold medals.
-
D.
Évelyne Beaudin
Évelyne Beaudin is a Canadian municipal politician who serves as the mayor of Sherbrooke, Quebec.
-
E.
Marie-France Boisselle
Marie-France Boisselle is known as the wife of American actor Fred Ward.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7d691008190a38729d18de2bb91 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd0659171081909806d6dde42fd179 |
completed | May 7, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd069c36f0819095cf141dda2cffb6 |
completed | May 7, 2026, 9:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.