Triple
T879582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatya Tope |
E18995
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Nana Sahib |
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 Sahib | Statement: [Tatya Tope, allyOf, Nana Sahib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nana Sahib Context triple: [Tatya Tope, allyOf, Nana Sahib]
-
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.
Lal Bai
Lal Bai was the mother of Bahadur Shah II, the last Mughal emperor of India.
-
C.
Nana
Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
-
D.
Devaki
Devaki is a revered figure in Hindu mythology best known as the mother of Lord Krishna.
-
E.
Shyamchi Aai
Shyamchi Aai is a classic Marathi autobiographical novel by Sane Guruji that poignantly portrays his childhood and deep bond with his mother.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b85630f081909f3a912d54dd328c |
completed | March 4, 2026, 4:43 a.m. |
Created at: March 1, 2026, 7:39 p.m.