Triple
T18570211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahul Dravid |
E453853
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Vijeta Pendharkar
Vijeta Pendharkar is an Indian medical professional best known as the wife of former Indian cricketer Rahul Dravid.
|
E1333521
|
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: Vijeta Pendharkar | Statement: [Rahul Dravid, spouse, Vijeta Pendharkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijeta Pendharkar Context triple: [Rahul Dravid, spouse, Vijeta Pendharkar]
-
A.
Meenakshi Salve
Meenakshi Salve is known as the former wife of prominent Indian jurist and senior advocate Harish Salve.
-
B.
Kala Dandekar
Kala Dandekar is a central character in the science fiction series "Sense8," portrayed as a devout Hindu pharmacist from Mumbai who becomes psychically linked with seven other individuals around the world.
-
C.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
-
D.
Ambriti Salve
Ambriti Salve is known as the daughter of prominent Indian jurist and senior advocate Harish Salve.
-
E.
Sudha Kulkarni
Sudha Kulkarni, better known as Sudha Murty, is an Indian author, philanthropist, and former chairperson of Infosys Foundation renowned for her social work and popular writings in English and Kannada.
- 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: Vijeta Pendharkar Triple: [Rahul Dravid, spouse, Vijeta Pendharkar]
Generated description
Vijeta Pendharkar is an Indian medical professional best known as the wife of former Indian cricketer Rahul Dravid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vijeta Pendharkar Target entity description: Vijeta Pendharkar is an Indian medical professional best known as the wife of former Indian cricketer Rahul Dravid.
-
A.
Meenakshi Salve
Meenakshi Salve is known as the former wife of prominent Indian jurist and senior advocate Harish Salve.
-
B.
Kala Dandekar
Kala Dandekar is a central character in the science fiction series "Sense8," portrayed as a devout Hindu pharmacist from Mumbai who becomes psychically linked with seven other individuals around the world.
-
C.
Jyoti Devlalikar
Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
-
D.
Ambriti Salve
Ambriti Salve is known as the daughter of prominent Indian jurist and senior advocate Harish Salve.
-
E.
Sudha Kulkarni
Sudha Kulkarni, better known as Sudha Murty, is an Indian author, philanthropist, and former chairperson of Infosys Foundation renowned for her social work and popular writings in English and Kannada.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b01331c8190bec3aba40358a843 |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0503761830819088f36a34e377ff49 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a050537da5481908da9209410986124 |
completed | May 13, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505e91794819086506a77ef287645 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 11:43 a.m.