Triple
T22033592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baba Azmi |
E544145
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tanvi Azmi |
—
|
NE NERFINISHED |
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: Tanvi Azmi | Statement: [Baba Azmi, spouse, Tanvi Azmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanvi Azmi Context triple: [Baba Azmi, spouse, Tanvi Azmi]
-
A.
Tanvi Azmi
chosen
Tanvi Azmi is an acclaimed Indian film and television actress known for her powerful character roles and multiple award-winning performances across Hindi cinema and TV.
-
B.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
C.
Pooja Batra
Pooja Batra is an Indian actress and former model best known for her work in Hindi cinema during the 1990s and early 2000s.
-
D.
Asha Hooda
Asha Hooda is an Indian public figure best known as the wife of former Haryana Chief Minister Bhupinder Singh Hooda and for her involvement in social and political circles in the state.
-
E.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.