Triple
T30345117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asuna Yuuki |
E771849
|
entity |
| Predicate | virtualWorld |
P141829
|
FINISHED |
| Object | Sword Art Online (Aincrad) |
—
|
NE NERFINISHED |
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: Sword Art Online (Aincrad) | Statement: [Asuna Yuuki, virtualWorld, Sword Art Online (Aincrad)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtualWorld Context triple: [Asuna Yuuki, virtualWorld, Sword Art Online (Aincrad)]
-
A.
virtualRealityProvider
Indicates that one entity serves as a provider or supplier of virtual reality services, systems, or experiences to another entity.
-
B.
imaginaryWorld
chosen
Indicates a relationship where an entity exists within, belongs to, or is associated with a fictional or imagined world rather than the real one.
-
C.
virtualRealityOption
Indicates that an entity offers, supports, or is configured as a virtual reality mode, feature, or setting within a system or experience.
-
D.
worldType
Indicates the classification or category of world or environment that an entity is associated with.
-
E.
realWorldStudio
Indicates a relationship where an entity is associated with, produced by, or taking place in a real-world studio environment (as opposed to virtual or simulated settings).
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682073b00819087f197f3937071a5 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.