Triple
T30482171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koimonogatari |
E775614
|
entity |
| Predicate | arcTitleInSeries |
P71619
|
FINISHED |
| Object | Hitagi End |
—
|
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: Hitagi End | Statement: [Koimonogatari, arcTitleInSeries, Hitagi End]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arcTitleInSeries Context triple: [Koimonogatari, arcTitleInSeries, Hitagi End]
-
A.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
B.
seriesTitleElement
chosen
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
C.
episodeTitle
Indicates that a given title string is the name of a specific episode within a series or program.
-
D.
eraTitleWith
Indicates a relationship where a specific era is associated with or designated by a particular title.
-
E.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68742cc6481908be525603fb6ba97 |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:12 p.m.