Triple

T30346292
Position Surface form Disambiguated ID Type / Status
Subject Muzan Kibutsuji E771875 entity
Predicate enemyOf P437 FINISHED
Object Kagaya Ubuyashiki
Kagaya Ubuyashiki is the calm and terminally ill leader of the Demon Slayer Corps in "Demon Slayer: Kimetsu no Yaiba," revered for his wisdom, compassion, and strategic guidance in the fight against demons.
E2204466 NE FINISHED

How this triple was built (2 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: Kagaya Ubuyashiki | Statement: [Muzan Kibutsuji, enemyOf, Kagaya Ubuyashiki]
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: Kagaya Ubuyashiki
Triple: [Muzan Kibutsuji, enemyOf, Kagaya Ubuyashiki]
Generated description
Kagaya Ubuyashiki is the calm and terminally ill leader of the Demon Slayer Corps in "Demon Slayer: Kimetsu no Yaiba," revered for his wisdom, compassion, and strategic guidance in the fight against demons.

Provenance (5 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_69f682084db081909e261c5bbae024e3 completed May 2, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e1600f2bc8190a89ea4960bf9dcba completed June 26, 2026, 6:02 a.m.
NEDg Description generation batch_6a3e17efad28819094f9722d0e032fbd completed June 26, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a3e1ce7fda88190abe048342ab44b3a completed June 26, 2026, 6:32 a.m.
Created at: April 29, 2026, 7:56 p.m.