Triple
T19079075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Maharashtra |
E466978
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object | Ramesh Bais |
—
|
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: Ramesh Bais | Statement: [Governor of Maharashtra, officeHolder, Ramesh Bais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramesh Bais Context triple: [Governor of Maharashtra, officeHolder, Ramesh Bais]
-
A.
Ramesh Bais
chosen
Ramesh Bais is an Indian politician who has served as the governor of multiple states and was previously a long-time member of the Bharatiya Janata Party and the Lok Sabha.
-
B.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
-
C.
Shyam Lal Yadav
Shyam Lal Yadav is an Indian politician who has served as a Member of Parliament representing the Varanasi Lok Sabha constituency.
-
D.
Ganesh Kumar
Ganesh Kumar is a film editor known for his work on Indian cinema, including editing the popular Tamil film "Baashha."
-
E.
Ram Prasad
Ram Prasad is the given name of Ram Prasad Bismil, a prominent Indian revolutionary and poet involved in the struggle for independence from British rule.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e82ec08190873186ff51e89d86 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.