Triple
T22109025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenzo Kitakata |
E546365
|
entity |
| Predicate | hasGenreInNotableWorks |
P12590
|
FINISHED |
| Object | noir |
—
|
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: noir | Statement: [Kenzo Kitakata, hasGenreInNotableWorks, noir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreInNotableWorks Context triple: [Kenzo Kitakata, hasGenreInNotableWorks, noir]
-
A.
notableWorkGenre
chosen
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
B.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
-
C.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
D.
hasArtistOfNotableWork
Indicates that an entity is associated with the artist who created a notable work related to that entity.
-
E.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291b9c988190b3ddd06d1f40dc78 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.