Triple
T17001370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. R. D. Tata |
E412451
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Suzanne Brière
Suzanne Brière was the French-born wife of Indian industrialist Ratanji Dadabhoy Tata and the mother of aviation pioneer and business leader J. R. D. Tata.
|
E1245303
|
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: Suzanne Brière | Statement: [J. R. D. Tata, mother, Suzanne Brière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Brière Context triple: [J. R. D. Tata, mother, Suzanne Brière]
-
A.
Suzanne Desrocher
Suzanne Desrocher is the widow of influential horror filmmaker George A. Romero, known for being his longtime partner and collaborator later in his life.
-
B.
Évelyne Beaudin
Évelyne Beaudin is a Canadian municipal politician who serves as the mayor of Sherbrooke, Quebec.
-
C.
Marie-France Boisselle
Marie-France Boisselle is known as the wife of American actor Fred Ward.
-
D.
Suzanne Cloutier
Suzanne Cloutier was a Canadian actress best known for her work in mid-20th-century European cinema, including roles in films by directors such as Orson Welles.
-
E.
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.
- 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: Suzanne Brière Triple: [J. R. D. Tata, mother, Suzanne Brière]
Generated description
Suzanne Brière was the French-born wife of Indian industrialist Ratanji Dadabhoy Tata and the mother of aviation pioneer and business leader J. R. D. Tata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzanne Brière Target entity description: Suzanne Brière was the French-born wife of Indian industrialist Ratanji Dadabhoy Tata and the mother of aviation pioneer and business leader J. R. D. Tata.
-
A.
Suzanne Desrocher
Suzanne Desrocher is the widow of influential horror filmmaker George A. Romero, known for being his longtime partner and collaborator later in his life.
-
B.
Évelyne Beaudin
Évelyne Beaudin is a Canadian municipal politician who serves as the mayor of Sherbrooke, Quebec.
-
C.
Marie-France Boisselle
Marie-France Boisselle is known as the wife of American actor Fred Ward.
-
D.
Suzanne Cloutier
Suzanne Cloutier was a Canadian actress best known for her work in mid-20th-century European cinema, including roles in films by directors such as Orson Welles.
-
E.
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.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37ec2b48190b4f997899d887ba8 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1e2f708190999f6fab16fdabe8 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.