Triple
T30383114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabukimonogatari |
E772879
|
entity |
| Predicate | arcSubtitle |
P2765
|
FINISHED |
| Object | Mayoi Jiangshi |
—
|
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: Mayoi Jiangshi | Statement: [Kabukimonogatari, arcSubtitle, Mayoi Jiangshi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arcSubtitle Context triple: [Kabukimonogatari, arcSubtitle, Mayoi Jiangshi]
-
A.
wroteSubtitle
Indicates that one entity is the author or creator of the subtitle text associated with another entity, such as a film, video, or media work.
-
B.
languageOfSubtitles
Indicates the language in which the subtitles for a given media item are provided.
-
C.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
D.
eraTitleWith
Indicates a relationship where a specific era is associated with or designated by a particular title.
-
E.
subtitle
chosen
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6851c44108190822e8d70e1114e09 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:01 p.m.