Triple
T13246142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajit Jain |
E315408
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tinku Jain |
E315408
|
NE FINISHED |
How this triple was built (2 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: Tinku Jain | Statement: [Ajit Jain, spouse, Tinku Jain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinku Jain Context triple: [Ajit Jain, spouse, Tinku Jain]
-
A.
Tinku Jain
chosen
Tinku Jain is known as the spouse of Ajit Jain, the prominent Berkshire Hathaway insurance executive and close associate of Warren Buffett.
-
B.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
C.
Manoj Tiwary
Manoj Tiwary is an Indian cricketer known primarily as a prolific middle-order batsman in domestic cricket and a former international player for India.
-
D.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
-
E.
Arun Tiwari
Arun Tiwari is an Indian missile scientist and author best known for co-authoring the autobiography "Wings of Fire" with A. P. J. Abdul Kalam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5c09f88190bb1566a6d8c073a6 |
completed | April 10, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3b8ca48190863aff25f12d0e7e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.