Triple
T21593118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banwarilal Purohit |
E532827
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kiran Purohit
Kiran Purohit is known as the wife of Indian politician and governor Banwarilal Purohit.
|
E1502345
|
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: Kiran Purohit | Statement: [Banwarilal Purohit, spouse, Kiran Purohit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiran Purohit Context triple: [Banwarilal Purohit, spouse, Kiran Purohit]
-
A.
Jyoti Bansal
Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
-
B.
Santosh Patel
Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
-
C.
Punam Patel
Punam Patel is an American actress known for her roles in television comedies and genre series, including a part in the sci-fi adventure film "Rim of the World."
-
D.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
-
E.
Aseem Shukla
Aseem Shukla is an Indian American urologic surgeon and public advocate known for co-founding and promoting the Hindu American Foundation.
- 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: Kiran Purohit Triple: [Banwarilal Purohit, spouse, Kiran Purohit]
Generated description
Kiran Purohit is known as the wife of Indian politician and governor Banwarilal Purohit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiran Purohit Target entity description: Kiran Purohit is known as the wife of Indian politician and governor Banwarilal Purohit.
-
A.
Jyoti Bansal
Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
-
B.
Santosh Patel
Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
-
C.
Punam Patel
Punam Patel is an American actress known for her roles in television comedies and genre series, including a part in the sci-fi adventure film "Rim of the World."
-
D.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
-
E.
Aseem Shukla
Aseem Shukla is an Indian American urologic surgeon and public advocate known for co-founding and promoting the Hindu American Foundation.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadf6e608190b42b26ea22c76ec6 |
completed | April 27, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e5b04948190a62f3ed43ce115f0 |
completed | May 17, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0a3f0745b0819084e481b0b3cdf011 |
completed | May 17, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3fbeace48190874b808fd94d9e3c |
completed | May 17, 2026, 10:22 p.m. |
Created at: April 16, 2026, 6:32 p.m.