Triple
T20419827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitish Kumar |
E500816
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nitish Kumar |
—
|
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: Nitish Kumar | Statement: [Nitish Kumar, name, Nitish Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nitish Kumar Context triple: [Nitish Kumar, name, Nitish Kumar]
-
A.
Nitish Kumar
chosen
Nitish Kumar is an Indian politician who has served multiple terms as Chief Minister of Bihar and is a prominent leader in regional and national politics.
-
B.
Nitish Roy
Nitish Roy is an Indian art director and production designer known for his work on numerous acclaimed films and television projects.
-
C.
Lalu Prasad Yadav
Lalu Prasad Yadav is an Indian politician and former Chief Minister of Bihar known for his populist style, influential role in regional politics, and leadership of the Rashtriya Janata Dal.
-
D.
Hemant Soren
Hemant Soren is an Indian politician and leader of the Jharkhand Mukti Morcha (JMM), known for heading the state government of Jharkhand.
-
E.
Jayant Sinha
Jayant Sinha is an Indian politician and former Minister of State for Finance and Civil Aviation, known for his role in economic and policy reforms.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba39f7081909358f1103a0f241c |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.