Triple
T31774089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaori Miyazono |
E811018
|
entity |
| Predicate | revealsInLetter |
P38401
|
FINISHED |
| Object | true feelings for Kousei Arima |
—
|
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: true feelings for Kousei Arima | Statement: [Kaori Miyazono, revealsInLetter, true feelings for Kousei Arima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealsInLetter Context triple: [Kaori Miyazono, revealsInLetter, true feelings for Kousei Arima]
-
A.
secretRevealed
Indicates that previously hidden or confidential information has been disclosed to one or more parties.
-
B.
secretRevealedThrough
Indicates that a secret becomes known or disclosed by means of a specified channel, method, or intermediary.
-
C.
isRevealedIn
chosen
Indicates that something becomes known, disclosed, or made apparent within a particular context, medium, or situation.
-
D.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
-
E.
revealedBook
Indicates that a book was disclosed or made known to someone, typically by a divine or authoritative source.
- 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.