Triple

T14412525
Position Surface form Disambiguated ID Type / Status
Subject High Heels E357363 entity
Predicate musicBy P1952 FINISHED
Object Ryuichi Sakamoto E286386 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: Ryuichi Sakamoto | Statement: [High Heels, musicBy, Ryuichi Sakamoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryuichi Sakamoto
Context triple: [High Heels, musicBy, Ryuichi Sakamoto]
  • A. Ryuichi Sakamoto chosen
    Ryuichi Sakamoto was a pioneering Japanese composer, musician, and producer known for his influential electronic and film scores, including acclaimed work on movies such as "The Last Emperor" and "The Revenant."
  • B. Miki Ando
    Miki Ando is a Japanese figure skater and two-time World champion known for being the first woman to land a quadruple jump in competition.
  • C. Tanaka Yoshiki
    Tanaka Yoshiki is a Japanese novelist best known for creating the epic science fiction series "Legend of the Galactic Heroes."
  • D. Yoshiki Haruhana
    Yoshiki Haruhana is a Japanese artist best known for his illustration and design work on the video game Super Mario Sunshine.
  • E. Masaaki Suzuki
    Masaaki Suzuki was an Imperial Japanese military officer who commanded forces during World War II, including in the Pacific campaign.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.