Triple
T33925343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | বিনয় |
E869733
|
entity |
| Predicate | নৈতিক_দ্বন্দ্বের_সহযাত্রী |
P117295
|
FINISHED |
| Object | গোরা |
—
|
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: গোরা | Statement: [বিনয়, নৈতিক_দ্বন্দ্বের_সহযাত্রী, গোরা]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: নৈতিক_দ্বন্দ্বের_সহযাত্রী Context triple: [বিনয়, নৈতিক_দ্বন্দ্বের_সহযাত্রী, গোরা]
-
A.
moralStruggleDescribedIn
Indicates that an internal moral conflict or ethical dilemma experienced by an entity is depicted or discussed within a particular work, context, or medium.
-
B.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
C.
moralTrajectory
Indicates the direction and pattern of change in an entity’s moral behavior or ethical stance over time.
-
D.
moralTest
Indicates a situation or action in which an entity’s moral principles, values, or ethical integrity are challenged or evaluated.
-
E.
isMoralFoilFor
chosen
Indicates that one entity serves as a contrasting counterpart whose differing moral qualities highlight or emphasize the moral traits of another entity.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.