Triple

T30347228
Position Surface form Disambiguated ID Type / Status
Subject Nisemonogatari E771898 entity
Predicate firstLightNovelVolumeTitle P17945 FINISHED
Object Karen Bee
Karen Bee is the first light novel volume of Nisio Isin's Nisemonogatari series, focusing on Karen Araragi and the continuation of the Monogatari storyline.
 E1910938 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: Karen Bee | Statement: [Nisemonogatari, firstLightNovelVolumeTitle, Karen Bee]
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: Karen Bee
Triple: [Nisemonogatari, firstLightNovelVolumeTitle, Karen Bee]
Generated description
Karen Bee is the first light novel volume of Nisio Isin's Nisemonogatari series, focusing on Karen Araragi and the continuation of the Monogatari storyline.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstLightNovelVolumeTitle
Context triple: [Nisemonogatari, firstLightNovelVolumeTitle, Karen Bee]
  • A. lightNovelVolumeNumber
    Indicates the specific volume number assigned to a light novel within its series.
  • B. firstBookAlternateTitle
    Indicates that a book’s earliest or primary edition is known by an alternative title distinct from its main title.
  • C. firstSeriesTitle
    Indicates the title of the first series in which the subject (such as a work, character, or franchise) appears or to which it belongs.
  • D. firstWellKnownLiteraryVersionTitle
    Indicates the title of the earliest widely recognized literary work in which the subject is prominently featured or described.
  • E. firstReleaseTitle chosen
    Indicates the title associated with an entity’s initial or earliest release.
  • 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_6a01d7b3ce8c8190b2f90be730505765 completed May 11, 2026, 1:20 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_6a01d5115a6c8190a6d9f96ec484135a completed May 11, 2026, 1:09 p.m.
Created at: April 29, 2026, 7:56 p.m.