Triple

T30346356
Position Surface form Disambiguated ID Type / Status
Subject Demon Slayer Corps E771876 entity
Predicate hasMember P10 FINISHED
Object Giyu Tomioka
Giyu Tomioka is a stoic and powerful Water Hashira known for his exceptional swordsmanship and pivotal role in supporting Tanjiro Kamado in Demon Slayer: Kimetsu no Yaiba.
E1988120 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: Giyu Tomioka | Statement: [Demon Slayer Corps, hasMember, Giyu Tomioka]
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: Giyu Tomioka
Triple: [Demon Slayer Corps, hasMember, Giyu Tomioka]
Generated description
Giyu Tomioka is a stoic and powerful Water Hashira known for his exceptional swordsmanship and pivotal role in supporting Tanjiro Kamado in Demon Slayer: Kimetsu no Yaiba.

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_6a2ed4bf5d6c8190af39d9516dc1d8bc completed June 14, 2026, 4:20 p.m.
NEDg Description generation batch_6a2ed590c5d4819080df86797a1366a7 completed June 14, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed61d8c5481908374f14c9ec6f398 completed June 14, 2026, 4:26 p.m.
Created at: April 29, 2026, 7:56 p.m.