Triple
T23204901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. R. Bhagwat |
E580423
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | B. R. Bhagwat |
—
|
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: B. R. Bhagwat | Statement: [B. R. Bhagwat, name, B. R. Bhagwat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B. R. Bhagwat Context triple: [B. R. Bhagwat, name, B. R. Bhagwat]
-
A.
B. R. Bhagwat
chosen
B. R. Bhagwat was a prominent Marathi writer best known for his influential and widely loved children’s literature.
-
B.
Mohan Madhukar Bhagwat
Mohan Madhukar Bhagwat is an Indian social leader who has served as the Sarsanghchalak (chief) of the Rashtriya Swayamsevak Sangh (RSS), a prominent Hindu nationalist organization.
-
C.
S. Satyamurti
S. Satyamurti was a prominent Indian nationalist leader and Congress politician from Madras Presidency, known for his eloquence, constitutionalist approach, and key role in the freedom movement.
-
D.
R. V. Pandit
R. V. Pandit is an Indian film producer best known for backing critically acclaimed Hindi cinema in the 1990s.
-
E.
Bhaskar Chandavarkar
Bhaskar Chandavarkar was an Indian music composer and sitarist known for his influential and experimental scores in parallel and art-house 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.