Triple
T32061732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayao Miyazaki |
E818763
|
entity |
| Predicate | notableManga |
P206166
|
FINISHED |
| Object | Nausicaä of the Valley of the Wind (manga) |
E1329178
|
NE 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: Nausicaä of the Valley of the Wind (manga) | Statement: [Hayao Miyazaki, notableManga, Nausicaä of the Valley of the Wind (manga)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableManga Context triple: [Hayao Miyazaki, notableManga, Nausicaä of the Valley of the Wind (manga)]
-
A.
mangaka
Indicates that a person is the creator (author and usually illustrator) of a manga work.
-
B.
mangaMagazine
Indicates that a manga work is serialized in or associated with a particular manga magazine.
-
C.
lightNovelMagazine
Indicates that a light novel is published in or associated with a particular magazine.
-
D.
mangaFormat
Indicates the specific publication or presentation format in which a manga is released or consumed.
-
E.
mangaDemographic
Indicates the target readership demographic that a manga is primarily intended for.
- F. None of above. chosen
Provenance (5 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f0115296881908530c8a970e40d66 |
completed | June 14, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:22 a.m.