Triple
T26291854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanaka Reina |
E661295
|
entity |
| Predicate | auditionedFor |
P160209
|
FINISHED |
| Object | Morning Musume Love Audition 2002 |
—
|
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: Morning Musume Love Audition 2002 | Statement: [Tanaka Reina, auditionedFor, Morning Musume Love Audition 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: auditionedFor Context triple: [Tanaka Reina, auditionedFor, Morning Musume Love Audition 2002]
-
A.
heardBy
Indicates that a sound, message, or communication produced by one entity is perceived or received auditorily by another entity.
-
B.
audibleIn
Indicates that a sound produced by one entity can be heard within the spatial or contextual range of another entity.
-
C.
isAudienceChoiceFor
Indicates that one entity represents a choice, option, or selection available to an audience in relation to another entity.
-
D.
mayHear
Indicates that one entity is permitted or able to hear sounds, speech, or audio produced by another entity.
-
E.
canHear
Indicates that one entity is able to perceive sounds produced by another entity.
- F. None of above. chosen
Provenance (4 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60eaaac4c8190bcd347bdbe78917e |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:09 p.m.