Triple
T30347229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisemonogatari |
E771898
|
entity |
| Predicate | secondLightNovelVolumeTitle |
P84711
|
FINISHED |
| Object | Tsukihi Phoenix |
—
|
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: Tsukihi Phoenix | Statement: [Nisemonogatari, secondLightNovelVolumeTitle, Tsukihi Phoenix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLightNovelVolumeTitle Context triple: [Nisemonogatari, secondLightNovelVolumeTitle, Tsukihi Phoenix]
-
A.
secondBookTitle
chosen
Indicates the title of the second book associated with a given entity or in a specified ordered collection of books.
-
B.
secondSeriesTitle
Indicates that an entity has a second series whose title is given by the related value.
-
C.
lightNovelVolumeNumber
Indicates the specific volume number assigned to a light novel within its series.
-
D.
secondStoryTitle
Indicates that an entity has a title specifically associated with its second story, installment, or entry in a sequence.
-
E.
secondShortTitle
Indicates that an entity has a secondary or alternative short title associated with it.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 29, 2026, 7:56 p.m.