Triple
T6318384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plante |
E141671
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alfred Plante
Alfred Plante is an individual notable enough to be recognized as a bearer of the surname Plante.
|
E594400
|
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: Alfred Plante | Statement: [Plante, hasNotableBearer, Alfred Plante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfred Plante Context triple: [Plante, hasNotableBearer, Alfred Plante]
-
A.
Camille Plante
Camille Plante is a person notable enough to be recognized as a bearer of the surname Plante.
-
B.
Gordie Lachance
Gordie Lachance is the introspective, sensitive narrator and protagonist of Stephen King's novella "The Body" and its film adaptation "Stand by Me," reflecting on a formative childhood journey with his friends.
-
C.
André Gazaille
André Gazaille is a Canadian Roman Catholic prelate who has served as the bishop of the Diocese of Nicolet in Quebec.
-
D.
Lucien Laurin
Lucien Laurin was a Canadian Hall of Fame horse trainer best known for conditioning the legendary racehorse Secretariat to win the 1973 Triple Crown.
-
E.
William Lee Tracy
William Lee Tracy was an American stage and film actor best known for his rapid-fire delivery and roles in early 1930s Hollywood comedies and dramas.
- 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: Alfred Plante Triple: [Plante, hasNotableBearer, Alfred Plante]
Generated description
Alfred Plante is an individual notable enough to be recognized as a bearer of the surname Plante.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfred Plante Target entity description: Alfred Plante is an individual notable enough to be recognized as a bearer of the surname Plante.
-
A.
Camille Plante
Camille Plante is a person notable enough to be recognized as a bearer of the surname Plante.
-
B.
Gordie Lachance
Gordie Lachance is the introspective, sensitive narrator and protagonist of Stephen King's novella "The Body" and its film adaptation "Stand by Me," reflecting on a formative childhood journey with his friends.
-
C.
André Gazaille
André Gazaille is a Canadian Roman Catholic prelate who has served as the bishop of the Diocese of Nicolet in Quebec.
-
D.
Lucien Laurin
Lucien Laurin was a Canadian Hall of Fame horse trainer best known for conditioning the legendary racehorse Secretariat to win the 1973 Triple Crown.
-
E.
William Lee Tracy
William Lee Tracy was an American stage and film actor best known for his rapid-fire delivery and roles in early 1930s Hollywood comedies and dramas.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64ba5b0bc8190aefa07c77c99be83 |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64f37cfa88190a1b896d1893a28d4 |
completed | March 27, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64fa0196c8190aa4c7241acf0c0b6 |
completed | March 27, 2026, 9:36 a.m. |
Created at: March 22, 2026, 4:29 p.m.