Triple
T14177427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vani Khosla |
E351368
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Khosla
Khosla is an Indian-origin surname commonly associated with notable figures in business, technology, and entertainment.
|
E1084557
|
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: Khosla | Statement: [Vani Khosla, familyName, Khosla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khosla Context triple: [Vani Khosla, familyName, Khosla]
-
A.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
B.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
C.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
D.
Vinod
Vinod is a masculine given name of Indian origin, commonly used in South Asia and among the Indian diaspora.
-
E.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
- 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: Khosla Triple: [Vani Khosla, familyName, Khosla]
Generated description
Khosla is an Indian-origin surname commonly associated with notable figures in business, technology, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khosla Target entity description: Khosla is an Indian-origin surname commonly associated with notable figures in business, technology, and entertainment.
-
A.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
B.
Deepak Nayyar
Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
-
C.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
D.
Vinod
Vinod is a masculine given name of Indian origin, commonly used in South Asia and among the Indian diaspora.
-
E.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80f03a48190a5374fb6374255a8 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd09b00dc48190bec9853e3dc78f26 |
completed | May 7, 2026, 9:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0a4c377c81909af76e8bd47e2f2a |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 10, 2026, 1:02 a.m.