Triple
T19233357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram Pandit |
E480925
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Swati Pandit |
—
|
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: Swati Pandit | Statement: [Vikram Pandit, spouse, Swati Pandit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swati Pandit Context triple: [Vikram Pandit, spouse, Swati Pandit]
-
A.
Swati Pandit
chosen
Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
-
B.
Sangita Srivastava
Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
-
C.
Kavita Krishnamurti
Kavita Krishnamurti is a renowned Indian playback singer celebrated for her versatile and emotive renditions in numerous Hindi film songs.
-
D.
Srinidhi Rangarajan
Srinidhi Rangarajan is an Indian professional best known as the wife of politician and businessman Karti Chidambaram, son of former Indian finance minister P. Chidambaram.
-
E.
Mrunmayee Lagoo
Mrunmayee Lagoo is an Indian actress and filmmaker, known as the daughter of veteran actress Reema Lagoo and for her work in Marathi and Hindi cinema.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9fa7348190947129273d19c9a7 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:25 p.m.