Triple

T36965202
Position Surface form Disambiguated ID Type / Status
Subject Team Silent E914409 entity
Predicate member P10 FINISHED
Object Masahiro Ito
Masahiro Ito is a Japanese artist and video game designer best known as the creature and environment designer for the Silent Hill series.
E2297724 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: Masahiro Ito | Statement: [Team Silent, member, Masahiro Ito]
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: Masahiro Ito
Triple: [Team Silent, member, Masahiro Ito]
Generated description
Masahiro Ito is a Japanese artist and video game designer best known as the creature and environment designer for the Silent Hill 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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ff2ff7a8819092ebe72ea0c5d3ea completed May 5, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a83c9f8703c8190973cfb31e1bb5169 completed Aug. 18, 2026, 2:56 a.m.
NEDg Description generation batch_6a83ca6826c4819099a88c98f41512bb completed Aug. 18, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_6a83cabfd38481909dd980884ffb190e completed Aug. 18, 2026, 3 a.m.
Created at: May 3, 2026, 4:14 p.m.