Triple
T16387712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azad Rao Khan |
E397965
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Kiran Rao |
E392746
|
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: Kiran Rao | Statement: [Azad Rao Khan, mother, Kiran Rao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiran Rao Context triple: [Azad Rao Khan, mother, Kiran Rao]
-
A.
Kiran Rao
chosen
Kiran Rao is an Indian film producer, director, and screenwriter known for her work in Hindi cinema and for co-producing acclaimed films such as "Dhobi Ghat" and "Delhi Belly."
-
B.
Surekha Konidela
Surekha Konidela is an Indian film producer and member of the prominent Allu–Konidela family in the Telugu cinema industry.
-
C.
Ameesha Patel
Ameesha Patel is an Indian actress and model best known for her roles in popular Bollywood films such as "Kaho Naa... Pyaar Hai" and "Gadar: Ek Prem Katha."
-
D.
Samantha Akkineni
Samantha Akkineni is a prominent Indian actress known for her acclaimed performances in Telugu and Tamil cinema, as well as her work in several successful pan-Indian projects.
-
E.
Ramya Krishnan
Ramya Krishnan is an acclaimed Indian actress known for her powerful and versatile performances across Tamil, Telugu, and other South Indian film industries.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758847948190b616cc85e208ee61 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:08 a.m.