Triple
T15205232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harish Salve |
E363370
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Sakshi Salve |
E1144991
|
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: Sakshi Salve | Statement: [Harish Salve, hasChild, Sakshi Salve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakshi Salve Context triple: [Harish Salve, hasChild, Sakshi Salve]
-
A.
Shivani Rawat
Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
-
B.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
C.
Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
-
D.
Meenakshi Salve
chosen
Meenakshi Salve is known as the former wife of prominent Indian jurist and senior advocate Harish Salve.
-
E.
Anuja Joshi
Anuja Joshi is an Indian-American actress known for her roles in television dramas and web series, including prominent work in both Indian and American productions.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef687bdc819090ec8a4e1af9f422 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.