Triple
T20085550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Hastinapura |
E500117
|
entity |
| Predicate | associatedWithEpicTheme |
P138662
|
FINISHED |
| Object | dharma |
—
|
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: dharma | Statement: [Queen of Hastinapura, associatedWithEpicTheme, dharma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEpicTheme Context triple: [Queen of Hastinapura, associatedWithEpicTheme, dharma]
-
A.
associatedEpicHero
Indicates a relationship where one entity is linked to, or thematically connected with, a particular epic hero.
-
B.
associatedEpicCycle
Indicates that one entity is linked to, or forms part of, a particular epic cycle within a larger narrative or project structure.
-
C.
associatedWithAuthorTheme
Indicates a relationship where an author is linked to, or characterized by, a particular theme in their work or thought.
-
D.
associatedThemeElements
Indicates a relationship where certain elements are linked to, or grouped under, a particular theme as its related components.
-
E.
associatedWithEpisodeType
Indicates that something has a connection or linkage to a particular type or category of episode.
- F. None of above. chosen
Provenance (4 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655ae9ec8190bde2f17452639de8 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:41 p.m.