Triple
T3848360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhondu Pant |
E85228
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Nana Saheb |
E13286
|
NE FINISHED |
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: Nana Saheb | Statement: [Dhondu Pant, alsoKnownAs, Nana Saheb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nana Saheb Context triple: [Dhondu Pant, alsoKnownAs, Nana Saheb]
-
A.
Nana Sahib
chosen
Nana Sahib was a prominent Indian aristocrat and leader who played a key role in directing rebel forces against British rule during the Indian Rebellion of 1857.
-
B.
Rani Lakshmibai
Rani Lakshmibai was the queen of Jhansi and a legendary Indian freedom fighter renowned for her bravery and leadership against British colonial rule during the mid-19th century.
-
C.
लक्ष्मीबाई गोडसे
लक्ष्मीबाई गोडसे नाथूराम विनायक गोडसे की माता थीं, जो महात्मा गांधी की हत्या के लिए कुख्यात भारतीय व्यक्ति थे।
-
D.
Laxmibai
Laxmibai was the wife of the renowned Kannada poet and Jnanpith awardee D. R. Bendre.
-
E.
Subhadra
Subhadra is a revered princess in the Mahabharata, the sister of Krishna and Balarama and the mother of the hero Abhimanyu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5122eb2708190b1aa9da233481015 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.