Triple
T22395013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bipin Rawat |
E553606
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bipin |
—
|
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: Bipin | Statement: [Bipin Rawat, givenName, Bipin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bipin Context triple: [Bipin Rawat, givenName, Bipin]
-
A.
Bipin
chosen
Bipin is the given name of Bipin Chandra Pal, a prominent Indian nationalist leader and social reformer of the early 20th century.
-
B.
Kripalani
Kripalani is an Indian surname most prominently associated with J. B. Kripalani, a key leader in India’s independence movement and former president of the Indian National Congress.
-
C.
Tej Bahadur
Tej Bahadur is the given name of Tej Bahadur Sapru, an influential Indian lawyer, political leader, and advocate of constitutional reform during the British colonial period.
-
D.
Pandu Hawaldar
Pandu Hawaldar is a Marathi comedy film best known for featuring veteran actor Ashok Saraf in a memorable lead role.
-
E.
Balotra
Balotra is a town in the Indian state of Rajasthan, known as a regional commercial center and textile hub within the Barmer district.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585dac3c8190bc221f35b3eefa3f |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.