Triple
T2615380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambhaji |
E58874
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Maharaj |
E92074
|
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: Maharaj | Statement: [Sambhaji, title, Maharaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maharaj Context triple: [Sambhaji, title, Maharaj]
-
A.
Maharaja
chosen
Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
-
B.
Dharma-raja
Dharma-raja is a title of the Hindu god Yama in his role as the divine judge who upholds cosmic law and moral order.
-
C.
Thakur
Thakur is a traditional Indian feudal and honorific title historically used by landowning nobility and warrior elites, particularly among Rajput communities.
-
D.
Mahendra
Mahendra is a central fictional character in Rabindranath Tagore’s Bengali novel "Chokher Bali," whose complex relationships drive much of the story’s emotional conflict.
-
E.
Jagat Narayan
Jagat Narayan was an Indian educationist and public figure who served as a member of the British-era Hunter Commission on education reforms.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87fb87c819093b02c67c76d51fd |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83eb8b088190b1ea47c6d42033c5 |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.