Triple

T15470051
Position Surface form Disambiguated ID Type / Status
Subject Paper Mario: Sticker Star E372133 entity
Predicate musicComposer P32102 FINISHED
Object Yoshito Hirano
Yoshito Hirano is a Japanese video game composer best known for his work on Nintendo titles, including the soundtrack for Paper Mario: Sticker Star.
E1984022 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: Yoshito Hirano | Statement: [Paper Mario: Sticker Star, musicComposer, Yoshito Hirano]
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: Yoshito Hirano
Triple: [Paper Mario: Sticker Star, musicComposer, Yoshito Hirano]
Generated description
Yoshito Hirano is a Japanese video game composer best known for his work on Nintendo titles, including the soundtrack for Paper Mario: Sticker Star.

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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a08b790819098ebe9286e5ab111 completed June 14, 2026, 11:01 a.m.
NEDg Description generation batch_6a2e8ad753688190829398ff32cf09e8 completed June 14, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8b9dbba88190a8e7f8aeb1d1c933 completed June 14, 2026, 11:08 a.m.
Created at: April 10, 2026, 3:33 a.m.