Triple
T6240014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durgeshnandini |
E139574
|
entity |
| Predicate | hasHistoricalFigureAppearance |
P53504
|
FINISHED |
| Object | Mughal generals (fictionalized) |
—
|
LITERAL 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: Mughal generals (fictionalized) | Statement: [Durgeshnandini, hasHistoricalFigureAppearance, Mughal generals (fictionalized)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalFigureAppearance Context triple: [Durgeshnandini, hasHistoricalFigureAppearance, Mughal generals (fictionalized)]
-
A.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
B.
hasHistoricalRoleAs
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
-
C.
usesRealHistoricalFigures
chosen
Indicates that the work includes or depicts actual people from real history rather than entirely fictional characters.
-
D.
historicalFigureDiscussed
Indicates that a historical figure is the topic of discussion, analysis, or commentary in some context.
-
E.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
- F. None of above.
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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063067d9c819085a18d9d03939266 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.