Triple
T30383100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabukimonogatari |
E772879
|
entity |
| Predicate | animeAdaptationOf |
P172840
|
FINISHED |
| Object | Kabukimonogatari (light novel arc) |
—
|
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: Kabukimonogatari (light novel arc) | Statement: [Kabukimonogatari, animeAdaptationOf, Kabukimonogatari (light novel arc)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animeAdaptationOf Context triple: [Kabukimonogatari, animeAdaptationOf, Kabukimonogatari (light novel arc)]
-
A.
animeAdaptationBy
Indicates that one work is an anime adaptation created by a specific person, studio, or organization.
-
B.
animeAdaptationStudio
Indicates the animation studio responsible for producing the anime adaptation of a given work.
-
C.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
D.
hasComicAdaptation
Indicates that one entity has been adapted into a comic based on the other entity.
-
E.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 29, 2026, 8:01 p.m.