Triple

T25201723
Position Surface form Disambiguated ID Type / Status
Subject Resident Evil 2 (2019 video game) E631140 entity
Predicate producer P490 FINISHED
Object Yoshiaki Hirabayashi
Yoshiaki Hirabayashi is a Japanese video game producer at Capcom best known for his work on major Resident Evil titles, including high-profile remakes in the series.
E2297061 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: Yoshiaki Hirabayashi | Statement: [Resident Evil 2 (2019 video game), producer, Yoshiaki Hirabayashi]
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: Yoshiaki Hirabayashi
Triple: [Resident Evil 2 (2019 video game), producer, Yoshiaki Hirabayashi]
Generated description
Yoshiaki Hirabayashi is a Japanese video game producer at Capcom best known for his work on major Resident Evil titles, including high-profile remakes in the series.

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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f474b904f48190be6513788f89c6a9 completed May 1, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82fd3602ec8190a4adfa8c4892f764 completed Aug. 17, 2026, 12:23 p.m.
NEDg Description generation batch_6a82fda208a881909e27066b18dc272c completed Aug. 17, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a82fed6e2b48190b4d1884e9d319f70 completed Aug. 17, 2026, 12:30 p.m.
Created at: April 21, 2026, 12:51 p.m.