Triple
T31774069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaori Miyazono |
E811018
|
entity |
| Predicate | pretendsToLike |
P165512
|
FINISHED |
| Object | Ryota Watari |
—
|
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: Ryota Watari | Statement: [Kaori Miyazono, pretendsToLike, Ryota Watari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pretendsToLike Context triple: [Kaori Miyazono, pretendsToLike, Ryota Watari]
-
A.
pretendsToValue
chosen
Indicates that one entity outwardly acts as if it values or cares about another entity or object, while not genuinely holding that value internally.
-
B.
pretendsConcernFor
Indicates that one entity feigns or simulates concern for another entity or situation without genuinely feeling it.
-
C.
likesFood
Indicates that an entity has a positive preference for or enjoyment of a particular food.
-
D.
emulates
Indicates that one entity imitates or reproduces the behavior, function, or characteristics of another.
-
E.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abb1ca4c81909e11f0181eb420f7 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:34 p.m.