Triple
T10506607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ela Bhatt |
E247802
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rasesh Bhatt |
E247802
|
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: Rasesh Bhatt | Statement: [Ela Bhatt, spouse, Rasesh Bhatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rasesh Bhatt Context triple: [Ela Bhatt, spouse, Rasesh Bhatt]
-
A.
Rasesh Bhatt
chosen
Rasesh Bhatt is known primarily as the husband of renowned Indian cooperative organizer and SEWA founder Ela Bhatt.
-
B.
Santosh Patel
Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
-
C.
Ravindra Patel
Ravindra Patel is a notable individual bearing the surname Patel, recognized for achievements significant enough to be distinctly recorded.
-
D.
Naren Patel
Naren Patel is a notable individual distinguished by achievements significant enough to be specifically recognized among people with the surname Patel.
-
E.
Jhaverba Patel
Jhaverba Patel was the wife of Sardar Vallabhbhai Patel, a key leader of the Indian independence movement and India’s first Deputy Prime Minister.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b17cd88190b37e41b3ce2b4b16 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b3d6f6c81908d8247da9d9caab2 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:26 p.m.