Triple
T22043698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaudhary Charan Singh University |
E544705
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Chaudhary Charan Singh |
—
|
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: Chaudhary Charan Singh | Statement: [Chaudhary Charan Singh University, namedAfter, Chaudhary Charan Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaudhary Charan Singh Context triple: [Chaudhary Charan Singh University, namedAfter, Chaudhary Charan Singh]
-
A.
Chaudhary Charan Singh
chosen
Chaudhary Charan Singh was an Indian politician who served as the 5th Prime Minister of India and was known for his advocacy of farmers’ rights and agrarian reforms.
-
B.
Chandra Shekhar
Chandra Shekhar was an Indian politician who briefly served as the 8th Prime Minister of India from 1990 to 1991.
-
C.
Manmohan Singh
Manmohan Singh is an acclaimed Indian cinematographer and film director best known for his influential work in Hindi and Punjabi cinema.
-
D.
Manmohan Singh
Manmohan Singh is an Indian economist and politician who served as the 13th Prime Minister of India from 2004 to 2014.
-
E.
Manohar Singh
Manohar Singh was an Indian actor known for his work in theatre, film, and television, often recognized for his strong character roles.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282ac42c819099b2f664f79f5b83 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.