Triple
T11695018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjay Kapoor |
E277970
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Janhvi Kapoor |
E743343
|
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: Janhvi Kapoor | Statement: [Sanjay Kapoor, relative, Janhvi Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janhvi Kapoor Context triple: [Sanjay Kapoor, relative, Janhvi Kapoor]
-
A.
Janhvi Kapoor
chosen
Janhvi Kapoor is an Indian film actress who works primarily in Hindi cinema and is known for being one of the prominent young stars in Bollywood.
-
B.
Sanjana Kapoor
Sanjana Kapoor is an Indian theatre personality and former film actress known for her work with Mumbai’s Prithvi Theatre and for promoting theatre education and outreach.
-
C.
Syesha Kapoor
Syesha Kapoor is the daughter of renowned Indian playback singer Alka Yagnik.
-
D.
Shriya Saran
Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
-
E.
Aditi Rao Hydari
Aditi Rao Hydari is an Indian actress and classical dancer known for her work in Hindi, Tamil, Telugu, and Malayalam films, often praised for her expressive performances and graceful screen presence.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47b9eb48190976a35e91e25b56b |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef833084988190b5004c93f68dc628 |
completed | April 27, 2026, 3:39 p.m. |
Created at: April 8, 2026, 9:40 p.m.