Triple
T26508529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikata Kavi |
E669616
|
entity |
| Predicate | fictionalizationStatus |
P64759
|
FINISHED |
| Object | semiLegendary |
—
|
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: semiLegendary | Statement: [Vikata Kavi, fictionalizationStatus, semiLegendary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalizationStatus Context triple: [Vikata Kavi, fictionalizationStatus, semiLegendary]
-
A.
fictionalStatus
Indicates that an entity exists only in imagination or narrative and does not correspond to a real-world counterpart.
-
B.
fictionalizationOf
Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
-
C.
fictionalizationLevel
chosen
Indicates the degree to which an event, account, or representation has been altered, embellished, or invented relative to factual reality.
-
D.
fictionalBirthStatus
Indicates the relationship between an entity and its status of being born or created within a fictional or imaginary context.
-
E.
fictionalOrphanStatus
Indicates that an entity is characterized as an orphan within a fictional or narrative 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 1:18 a.m.