Triple

T30428214
Position Surface form Disambiguated ID Type / Status
Subject Zenitsu Agatsuma E774090 entity
Predicate sharesMentorWith P196747 FINISHED
Object Kaigaku
Kaigaku is a character from the manga and anime series "Demon Slayer: Kimetsu no Yaiba," known for being a former Thunder Breathing Demon Slayer who later becomes a demon and antagonist.
 E1915007 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: Kaigaku | Statement: [Zenitsu Agatsuma, sharesMentorWith, Kaigaku]
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: Kaigaku
Triple: [Zenitsu Agatsuma, sharesMentorWith, Kaigaku]
Generated description
Kaigaku is a character from the manga and anime series "Demon Slayer: Kimetsu no Yaiba," known for being a former Thunder Breathing Demon Slayer who later becomes a demon and antagonist.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: sharesMentorWith
Context triple: [Zenitsu Agatsuma, sharesMentorWith, Kaigaku]
  • A. sharesTrainingWith
    Indicates that two entities have participated in the same training activity, program, or session.
  • B. sharesCurriculumWith
    Indicates that two educational programs or courses use the same or substantially overlapping curriculum content.
  • C. sharesUniverseWith
    Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
  • D. sharesWith
    Indicates that one entity gives another entity access to or use of something it possesses.
  • E. sharesModuleWith
    Indicates that two entities are associated with or participate in at least one common module.
  • 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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe6739d4dc8190ae7505c089bbac29 completed May 8, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798b7aae48190a93751027a1af148 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279a2571348190a4e73550fb88a687 completed June 9, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_6a279a938f448190b0cb68d9855c274d completed June 9, 2026, 4:46 a.m.
PD Predicate disambiguation batch_69fe6541dffc81909c66a61ba69f38fc completed May 8, 2026, 10:35 p.m.
PDg Predicate description generation batch_69fe673905408190a2ae68c2c9563403 completed May 8, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:06 p.m.