Triple

T30344987
Position Surface form Disambiguated ID Type / Status
Subject Dengeki Bunko E771847 entity
Predicate notableWork P4 FINISHED
Object Eromanga Sensei
Eromanga Sensei is a Japanese light novel series (also adapted into manga and anime) that follows a teenage light novel author and his reclusive younger stepsister, who secretly illustrates his works under the pseudonym “Eromanga Sensei.”
 E1911725 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: Eromanga Sensei | Statement: [Dengeki Bunko, notableWork, Eromanga Sensei]
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: Eromanga Sensei
Triple: [Dengeki Bunko, notableWork, Eromanga Sensei]
Generated description
Eromanga Sensei is a Japanese light novel series (also adapted into manga and anime) that follows a teenage light novel author and his reclusive younger stepsister, who secretly illustrates his works under the pseudonym “Eromanga Sensei.”

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_69f682073b00819087f197f3937071a5 completed May 2, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c2737348190b3dc8979f853cd3a completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277eea31948190aa32de01ebaf1839 completed June 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_6a27829f129c8190bb94438be86c5418 completed June 9, 2026, 3:03 a.m.
Created at: April 29, 2026, 7:55 p.m.