Triple
T6661719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thérèse Tanguay Dion |
E151491
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tanguay
Tanguay is a French-Canadian surname notably associated with Thérèse Tanguay Dion, the mother of singer Céline Dion.
|
E608885
|
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: Tanguay | Statement: [Thérèse Tanguay Dion, familyName, Tanguay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanguay Context triple: [Thérèse Tanguay Dion, familyName, Tanguay]
-
A.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
B.
Nashwaaksis
Nashwaaksis is a residential neighbourhood in the city of Fredericton, New Brunswick, Canada.
-
C.
Bois d’Amour
Bois d’Amour is a picturesque wooded area in Pont-Aven, Brittany, famed as an inspiration and subject for many 19th-century Post-Impressionist painters.
-
D.
Shawinigan
Shawinigan is a city in the Mauricie region of Quebec, Canada, known for its industrial history along the Saint-Maurice River and its role as a regional economic and cultural center.
-
E.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
- 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: Tanguay Triple: [Thérèse Tanguay Dion, familyName, Tanguay]
Generated description
Tanguay is a French-Canadian surname notably associated with Thérèse Tanguay Dion, the mother of singer Céline Dion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanguay Target entity description: Tanguay is a French-Canadian surname notably associated with Thérèse Tanguay Dion, the mother of singer Céline Dion.
-
A.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
B.
Nashwaaksis
Nashwaaksis is a residential neighbourhood in the city of Fredericton, New Brunswick, Canada.
-
C.
Bois d’Amour
Bois d’Amour is a picturesque wooded area in Pont-Aven, Brittany, famed as an inspiration and subject for many 19th-century Post-Impressionist painters.
-
D.
Shawinigan
Shawinigan is a city in the Mauricie region of Quebec, Canada, known for its industrial history along the Saint-Maurice River and its role as a regional economic and cultural center.
-
E.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b097e0e481909251443f9ce0b85a |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0a0c208190ac6a309bfb2e4e4b |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a3f0b481908dfe70d626277e8f |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a3995c8190b22766356b6e6bf8 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2:02 p.m.