Triple
T19880872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nripendra Misra |
E477765
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kusum Misra
Kusum Misra is known as the wife of Indian civil servant and former Principal Secretary to the Prime Minister, Nripendra Misra.
|
E1399404
|
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: Kusum Misra | Statement: [Nripendra Misra, spouse, Kusum Misra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kusum Misra Context triple: [Nripendra Misra, spouse, Kusum Misra]
-
A.
Sumita Devi
Sumita Devi was a prominent Bangladeshi film actress, producer, and one of the early leading ladies of Bengali cinema.
-
B.
Urmila Haksar
Urmila Haksar was the wife of influential Indian diplomat and principal secretary to Prime Minister Indira Gandhi, P. N. Haksar.
-
C.
Sushila Shinde
Sushila Shinde is known as the mother of Ahilyabai Holkar, the famed 18th-century Maratha queen and ruler of the Malwa kingdom.
-
D.
Nanda Kaul
Nanda Kaul is the elderly, reclusive central figure of Anita Desai’s novel "Fire on the Mountain," whose solitary life in the Himalayan town of Kasauli is disrupted by unexpected visitors that force her to confront her past.
-
E.
Usha Kundu
Usha Kundu is a physician and philanthropist whose contributions to healthcare and medical education led to a medical college being named in her honor.
- 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: Kusum Misra Triple: [Nripendra Misra, spouse, Kusum Misra]
Generated description
Kusum Misra is known as the wife of Indian civil servant and former Principal Secretary to the Prime Minister, Nripendra Misra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kusum Misra Target entity description: Kusum Misra is known as the wife of Indian civil servant and former Principal Secretary to the Prime Minister, Nripendra Misra.
-
A.
Sumita Devi
Sumita Devi was a prominent Bangladeshi film actress, producer, and one of the early leading ladies of Bengali cinema.
-
B.
Urmila Haksar
Urmila Haksar was the wife of influential Indian diplomat and principal secretary to Prime Minister Indira Gandhi, P. N. Haksar.
-
C.
Sushila Shinde
Sushila Shinde is known as the mother of Ahilyabai Holkar, the famed 18th-century Maratha queen and ruler of the Malwa kingdom.
-
D.
Nanda Kaul
Nanda Kaul is the elderly, reclusive central figure of Anita Desai’s novel "Fire on the Mountain," whose solitary life in the Himalayan town of Kasauli is disrupted by unexpected visitors that force her to confront her past.
-
E.
Usha Kundu
Usha Kundu is a physician and philanthropist whose contributions to healthcare and medical education led to a medical college being named in her honor.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658de4b288190a41bee67f570be1e |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbca90b08190a2f1d7434ce10758 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc950cd8819084a9184a20a15b85 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd016aa88190890d6272e51c30e2 |
completed | May 16, 2026, 2:57 a.m. |
Created at: April 10, 2026, 1:52 p.m.