Triple
T29872072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wii series |
E758615
|
entity |
| Predicate | usesAvatarSystem |
P162065
|
FINISHED |
| Object | Miis |
—
|
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: Miis | Statement: [Wii series, usesAvatarSystem, Miis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAvatarSystem Context triple: [Wii series, usesAvatarSystem, Miis]
-
A.
isLinkedToAvatar
Indicates that one entity is associated or connected to a specific avatar representation of a user or character.
-
B.
usesSubsystem
chosen
Indicates that one system or component employs another system or component as a subordinate functional part to perform its operations.
-
C.
avatarOf
Indicates that one entity serves as the embodiment, representation, or manifested form of another entity.
-
D.
usesEntrySystem
Indicates that an entity operates or interacts through a particular entry or access control system.
-
E.
avatar
Indicates that one entity serves as a representation, embodiment, or proxy of another entity, often in a different form or medium.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 5:54 p.m.