Triple
T30347229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisemonogatari |
E771898
|
entity |
| Predicate | secondLightNovelVolumeTitle |
P84711
|
FINISHED |
| Object |
Tsukihi Phoenix
Tsukihi Phoenix is the second volume of the Japanese light novel series Nisemonogatari by Nisio Isin, focusing on the character Tsukihi Araragi and themes of identity and deception.
|
E1910939
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tsukihi Phoenix Triple: [Nisemonogatari, secondLightNovelVolumeTitle, Tsukihi Phoenix]
Generated description
Tsukihi Phoenix is the second volume of the Japanese light novel series Nisemonogatari by Nisio Isin, focusing on the character Tsukihi Araragi and themes of identity and deception.
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a277c28f12c8190a703fc2c9b2fe97a |
completed | June 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_6a277cab7a848190b3bb869bb2f794fa |
completed | June 9, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a277d7238a481909b4eccfff1d10aa9 |
completed | June 9, 2026, 2:41 a.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 29, 2026, 7:56 p.m.