Triple
T11535398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randhir Kapoor |
E273533
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Rima Jain |
E908650
|
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: Rima Jain | Statement: [Randhir Kapoor, sibling, Rima Jain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rima Jain Context triple: [Randhir Kapoor, sibling, Rima Jain]
-
A.
Rima Jain
chosen
Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
-
B.
Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef12d90b608190b43fc3aa138aa856 |
completed | April 27, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:37 p.m.