Triple
T11424769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishi Kapoor |
E270718
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Ritu Nanda |
E905441
|
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: Ritu Nanda | Statement: [Rishi Kapoor, sibling, Ritu Nanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritu Nanda Context triple: [Rishi Kapoor, sibling, Ritu Nanda]
-
A.
Ritu Nanda
chosen
Ritu Nanda was an Indian businesswoman and insurance advisor, best known as a member of the prominent Kapoor film family and for setting industry records in the insurance sector.
-
B.
Gita Sen
Gita Sen is an Indian actress known for her frequent collaborations with her husband, acclaimed filmmaker Mrinal Sen, in Bengali parallel cinema.
-
C.
Nandita Puri
Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
-
D.
Babita Kapoor
Babita Kapoor is an Indian former actress and member of the prominent Kapoor film family, known for her work in Hindi cinema of the late 1960s and 1970s.
-
E.
Suchitra Sen
Suchitra Sen was a legendary Indian film actress renowned for her powerful performances in Bengali cinema and as the first Indian actress to receive an international film award.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8e371948190a37609aad75a4bfd |
completed | April 20, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:35 p.m.