Triple

T23284696
Position Surface form Disambiguated ID Type / Status
Subject One More Time music video E588954 entity
Predicate director P255 FINISHED
Object Kazuhisa Takenouchi
Kazuhisa Takenouchi is a Japanese music video and commercial director best known internationally for directing Daft Punk’s animated “One More Time” music video.
E1723432 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: Kazuhisa Takenouchi | Statement: [One More Time music video, director, Kazuhisa Takenouchi]
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: Kazuhisa Takenouchi
Triple: [One More Time music video, director, Kazuhisa Takenouchi]
Generated description
Kazuhisa Takenouchi is a Japanese music video and commercial director best known internationally for directing Daft Punk’s animated “One More Time” music video.

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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964600888190b40ecbefdc8aec64 completed April 29, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae83c44081908c0a1b8849a9c4af completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af2076908190b275c87caa60bb7c completed May 23, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a11afbb49c48190a2640fa6e8186fd8 completed May 23, 2026, 1:46 p.m.
Created at: April 17, 2026, 4:59 p.m.