Triple

T20536118
Position Surface form Disambiguated ID Type / Status
Subject Sugimoto E504202 entity
Predicate hasNotableBearer P458 FINISHED
Object Yūji Sugimoto
Yūji Sugimoto is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Sugimoto.
E2294303 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: Yūji Sugimoto | Statement: [Sugimoto, hasNotableBearer, Yūji Sugimoto]
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: Yūji Sugimoto
Triple: [Sugimoto, hasNotableBearer, Yūji Sugimoto]
Generated description
Yūji Sugimoto is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Sugimoto.

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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06ed3088190bd01a95672b01ad6 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bd0bbc6888190b11c901212bddbce completed Aug. 12, 2026, 1:47 a.m.
NEDg Description generation batch_6a7bd1d835dc8190b071435cea0e2d5f completed Aug. 12, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_6a7bd26cac188190955d7437d0bec67e completed Aug. 12, 2026, 1:54 a.m.
Created at: April 16, 2026, 11:37 a.m.