Triple
T11424763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishi Kapoor |
E270718
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Neetu Singh |
E829048
|
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: Neetu Singh | Statement: [Rishi Kapoor, spouse, Neetu Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neetu Singh Context triple: [Rishi Kapoor, spouse, Neetu Singh]
-
A.
Neetu Singh
chosen
Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
-
B.
Sarika Thakur
Sarika Thakur, known mononymously as Sarika, is an Indian actress and former child star recognized for her work in Hindi cinema and television.
-
C.
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.
-
D.
Anu Singh
Anu Singh is an Australian woman whose 1997 killing of her boyfriend Joe Cinque and subsequent trial became the subject of the true-crime book and film "Joe Cinque’s Consolation."
-
E.
Richa Chadha
Richa Chadha is an Indian actress known for her critically acclaimed performances in Hindi films such as "Gangs of Wasseypur" and "Masaan."
- 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_69e6e7580c508190a81eadd9015c75ef |
completed | April 21, 2026, 2:56 a.m. |
Created at: April 8, 2026, 9:35 p.m.