Triple

T30343368
Position Surface form Disambiguated ID Type / Status
Subject The Seven Deadly Sins (first anime series) E771812 entity
Predicate mainCharacter P1183 FINISHED
Object Escanor
Escanor is a powerful character from the anime and manga series "The Seven Deadly Sins," known as the Lion's Sin of Pride whose strength peaks at noon with his sun-based magic.
E1909714 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: Escanor | Statement: [The Seven Deadly Sins (first anime series), mainCharacter, Escanor]
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: Escanor
Triple: [The Seven Deadly Sins (first anime series), mainCharacter, Escanor]
Generated description
Escanor is a powerful character from the anime and manga series "The Seven Deadly Sins," known as the Lion's Sin of Pride whose strength peaks at noon with his sun-based magic.

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_69f6820597308190a7e31f9c6cee3640 completed May 2, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c2559148190a49afbd63f7a3273 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cd679cc8190884aee72afff3e23 completed June 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a277d8a6470819089d082e4533d58ca completed June 9, 2026, 2:42 a.m.
Created at: April 29, 2026, 7:55 p.m.