Triple

T30383030
Position Surface form Disambiguated ID Type / Status
Subject Bakemonogatari E772877 entity
Predicate lightNovelEnglishPublisher P171074 FINISHED
Object Vertical
Vertical is a North American publishing imprint known for releasing English translations of Japanese novels and manga, including works like Bakemonogatari.
 E1912726 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: Vertical | Statement: [Bakemonogatari, lightNovelEnglishPublisher, Vertical]
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: Vertical
Triple: [Bakemonogatari, lightNovelEnglishPublisher, Vertical]
Generated description
Vertical is a North American publishing imprint known for releasing English translations of Japanese novels and manga, including works like Bakemonogatari.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: lightNovelEnglishPublisher
Context triple: [Bakemonogatari, lightNovelEnglishPublisher, Vertical]
  • A. lightNovelPublisherLabel chosen
    Indicates that an entity serves as the publishing company responsible for releasing a particular light novel.
  • B. lightNovelMainImprintRunEndYear
    Indicates the calendar year in which the main imprint’s publication run of the light novel ended.
  • C. lightNovelPublisherCountry
    Indicates the country in which the publisher of a given light novel is based.
  • D. mangaPublisherEnglish
    Indicates that an entity serves as the English-language publisher of a given manga.
  • E. lightNovelMagazine
    Indicates that a light novel is published in or associated with a particular magazine.
  • 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_69f2248e3444819081b05712dc6873de completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6a916d2e08190bafc01cba73b6469 completed May 3, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27894a754c8190933f19e97580c90c completed June 9, 2026, 3:32 a.m.
NEDg Description generation batch_6a278aa2bd7c8190bc7dca88c989e806 completed June 9, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a278b9c83b48190bbb2c6d6fe36ff82 completed June 9, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69f6a7548eb48190a69b60a3c6ad53b9 completed May 3, 2026, 1:39 a.m.
Created at: April 29, 2026, 8:01 p.m.