Triple
T21623831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunak family |
E533645
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Usha Sunak
Usha Sunak is a pharmacist and the mother of former UK Prime Minister Rishi Sunak.
|
E1494064
|
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: Usha Sunak | Statement: [Sunak family, hasMember, Usha Sunak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usha Sunak Context triple: [Sunak family, hasMember, Usha Sunak]
-
A.
Bibi Mubarika
Bibi Mubarika was a consort of Emir Dost Mohammad Khan, a prominent 19th-century ruler of Afghanistan from the Barakzai dynasty.
-
B.
Sonia Gandhi
Sonia Gandhi is an Italian-born Indian politician who served as the longest-tenured president of the Indian National Congress and is a prominent leader of the Nehru–Gandhi political family.
-
C.
Priyanka Gandhi Vadra
Priyanka Gandhi Vadra is an Indian politician and prominent member of the Nehru–Gandhi family, known for her role in the Indian National Congress and her active involvement in national and Uttar Pradesh politics.
-
D.
Supriya Jolly Jindal
Supriya Jolly Jindal is an American philanthropist and former First Lady of Louisiana, known for her work in education and children's initiatives.
-
E.
Nisha Parti
Nisha Parti is a British film and television producer known for developing and producing acclaimed UK dramas and literary adaptations.
- 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: Usha Sunak Triple: [Sunak family, hasMember, Usha Sunak]
Generated description
Usha Sunak is a pharmacist and the mother of former UK Prime Minister Rishi Sunak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Usha Sunak Target entity description: Usha Sunak is a pharmacist and the mother of former UK Prime Minister Rishi Sunak.
-
A.
Bibi Mubarika
Bibi Mubarika was a consort of Emir Dost Mohammad Khan, a prominent 19th-century ruler of Afghanistan from the Barakzai dynasty.
-
B.
Sonia Gandhi
Sonia Gandhi is an Italian-born Indian politician who served as the longest-tenured president of the Indian National Congress and is a prominent leader of the Nehru–Gandhi political family.
-
C.
Priyanka Gandhi Vadra
Priyanka Gandhi Vadra is an Indian politician and prominent member of the Nehru–Gandhi family, known for her role in the Indian National Congress and her active involvement in national and Uttar Pradesh politics.
-
D.
Supriya Jolly Jindal
Supriya Jolly Jindal is an American philanthropist and former First Lady of Louisiana, known for her work in education and children's initiatives.
-
E.
Nisha Parti
Nisha Parti is a British film and television producer known for developing and producing acclaimed UK dramas and literary adaptations.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521125f481909ccfc95d884976e2 |
completed | April 27, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f9118808190beb4a812621920ee |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a108bf4608190af587dd34077f2ad |
completed | May 17, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a110507d48190ad75223311ce159e |
completed | May 17, 2026, 7:03 p.m. |
Created at: April 16, 2026, 6:34 p.m.