Triple
T31645241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabhi |
E807567
|
entity |
| Predicate | ragaCharacter |
P172051
|
FINISHED |
| Object | bright |
—
|
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: bright | Statement: [Arabhi, ragaCharacter, bright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ragaCharacter Context triple: [Arabhi, ragaCharacter, bright]
-
A.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
B.
karakter
Indicates that one entity is a character (e.g., a role or persona) associated with or embodied by another entity.
-
C.
lyricalCharacter
Indicates that one entity is the character or persona expressed or portrayed in the lyrics of the other entity (such as a song or poem).
-
D.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
E.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:50 p.m.