Triple
T18563089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. S. Bhandari |
E453694
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | S. S. Bhandari |
—
|
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: S. S. Bhandari | Statement: [S. S. Bhandari, knownAs, S. S. Bhandari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S. S. Bhandari Context triple: [S. S. Bhandari, knownAs, S. S. Bhandari]
-
A.
S. S. Bhandari
chosen
S. S. Bhandari was an Indian politician and key early organizer associated with the formation and growth of the Bharatiya Janata Party (BJP).
-
B.
Rameshwar S. Bhagat
Rameshwar S. Bhagat is an Indian film editor known for his work on major Bollywood productions.
-
C.
Nripendra Misra
Nripendra Misra is an Indian civil servant and former top bureaucrat who served as a key aide and principal advisor to Prime Minister Narendra Modi.
-
D.
K. Parasaran
K. Parasaran is a senior Indian jurist and former Attorney General of India, renowned for his expertise in constitutional law and his prominent role in major Hindu temple and religious trust matters.
-
E.
Asit K. Biswas
Asit K. Biswas is a renowned water resources expert and academic known for his pioneering work in global water management and policy.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afb4f088190adf0b2b64057a210 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:42 a.m.