Triple
T18399632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charioteer Vahuka |
E449956
|
entity |
| Predicate | sourceTextAttribution |
P36855
|
FINISHED |
| Object | traditionally attributed to Vyasa |
—
|
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: traditionally attributed to Vyasa | Statement: [Charioteer Vahuka, sourceTextAttribution, traditionally attributed to Vyasa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceTextAttribution Context triple: [Charioteer Vahuka, sourceTextAttribution, traditionally attributed to Vyasa]
-
A.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
originalAuthorOfSource
chosen
Indicates that an entity is the original creator or author of a given source or work.
-
C.
cultureAttributedTo
Indicates that a particular cultural style, tradition, or influence is ascribed to or associated with a specific source, group, or origin.
-
D.
typicalSourceText
Indicates that the related entity is a common or representative textual source from which information, examples, or data about another entity are typically drawn.
-
E.
quoteAttributedTo
Indicates that a specific quotation is credited as having been said or written by a particular source or 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518499b1481909c5de786c48faeba |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.