Triple
T9001579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Lie in April |
E215049
|
entity |
| Predicate | mangaDemographic |
P85642
|
FINISHED |
| Object | shōnen |
—
|
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: shōnen | Statement: [Your Lie in April, mangaDemographic, shōnen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mangaDemographic Context triple: [Your Lie in April, mangaDemographic, shōnen]
-
A.
fandomType
Indicates the specific category or kind of fandom relationship that exists between an entity and the subject of that fandom.
-
B.
fandomScope
Indicates the extent or boundaries of a fandom-related relationship, such as how broadly or narrowly a fan’s interest, participation, or recognition applies.
-
C.
fandomFocus
Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects of another entity.
-
D.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
E.
readership
Indicates the relationship in which one party reads, follows, or is the audience for the written or published work of another.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.