Triple

T20827304
Position Surface form Disambiguated ID Type / Status
Subject The Legend of Zelda: The Minish Cap E512735 entity
Predicate composer P1361 FINISHED
Object Mitsuharu Fukuyama
Mitsuharu Fukuyama is a Japanese video game composer best known for his work on Nintendo titles such as The Legend of Zelda: The Minish Cap.
E2294657 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: Mitsuharu Fukuyama | Statement: [The Legend of Zelda: The Minish Cap, composer, Mitsuharu Fukuyama]
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: Mitsuharu Fukuyama
Triple: [The Legend of Zelda: The Minish Cap, composer, Mitsuharu Fukuyama]
Generated description
Mitsuharu Fukuyama is a Japanese video game composer best known for his work on Nintendo titles such as The Legend of Zelda: The Minish Cap.

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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fe54608190a061274bf4316610 completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7c0b0b0540819081139b84af2e1e4e completed Aug. 12, 2026, 5:56 a.m.
NEDg Description generation batch_6a7c0b584070819084749e679c08fdef completed Aug. 12, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_6a7c0bae834c8190a473a3411ad7606d completed Aug. 12, 2026, 5:59 a.m.
Created at: April 16, 2026, 12:42 p.m.