Triple
T30344691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viz Media |
E771840
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Viz Media Europe (historical/related entity)
Viz Media Europe was the former European subsidiary of Viz Media responsible for licensing, distributing, and marketing anime and manga across Europe before its operations were restructured and rebranded.
|
E771840
|
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: Viz Media Europe (historical/related entity) | Statement: [Viz Media, hasSubsidiary, Viz Media Europe (historical/related entity)]
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: Viz Media Europe (historical/related entity) Triple: [Viz Media, hasSubsidiary, Viz Media Europe (historical/related entity)]
Generated description
Viz Media Europe was the former European subsidiary of Viz Media responsible for licensing, distributing, and marketing anime and manga across Europe before its operations were restructured and rebranded.
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_69f682065a548190bff089d7dafbf3ad |
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.