Triple

T35441271
Position Surface form Disambiguated ID Type / Status
Subject Shin E1024344 entity
Predicate magazineSerialization P182978 FINISHED
Object Young Animal
Young Animal is a Japanese seinen manga magazine known for serializing a variety of popular and often mature-themed series.
 E2140656 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: Young Animal | Statement: [Shin, magazineSerialization, Young Animal]
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: Young Animal
Triple: [Shin, magazineSerialization, Young Animal]
Generated description
Young Animal is a Japanese seinen manga magazine known for serializing a variety of popular and often mature-themed series.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: magazineSerialization
Context triple: [Shin, magazineSerialization, Young Animal]
  • A. magazineEditorAtSerialization
    Indicates that a person serves as the editor of a magazine specifically during the period when a work is being serialized in that magazine.
  • B. ownedMagazine
    Indicates that one entity possessed or held ownership of a particular magazine.
  • C. magazineRelease
    Indicates the event or relationship in which a magazine is issued or made publicly available on a particular date or through a specific channel.
  • D. magazineType
    Indicates the specific category or genre to which a magazine belongs.
  • E. documentsSeries
    Indicates that one document belongs to, or is part of, a larger series of related documents.
  • F. None of above. chosen

Provenance (7 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_69f76df8089481909f0018266ee881b7 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795c200f48190a596f34fdae23fd7 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836c648e88190a1b0927bf8762311 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a3838f3057c8190a25ddf544fcf9ab7 completed June 21, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_6a38396302c8819087fc052fd76ec65b completed June 21, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69f7910770108190bdd39ddb5d304f54 completed May 3, 2026, 6:16 p.m.
PDg Predicate description generation batch_69f791cad5e08190a8a04ca283dbecaa completed May 3, 2026, 6:19 p.m.
Created at: May 3, 2026, 4:04 p.m.