Triple

T10890703
Position Surface form Disambiguated ID Type / Status
Subject Matthew Herbert E257164 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Yoko Ono E93289 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: Yoko Ono | Statement: [Matthew Herbert, hasCollaboratedWith, Yoko Ono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoko Ono
Context triple: [Matthew Herbert, hasCollaboratedWith, Yoko Ono]
  • A. Yoko Ono chosen
    Yoko Ono is a Japanese multimedia artist, musician, and peace activist known for her avant-garde work and her marriage and collaborations with John Lennon.
  • B. Yoko Satō
    Yoko Satō is a Japanese individual known for bearing the surname Satō, which is one of the most common family names in Japan.
  • C. Yoko
    Yoko is a Japanese given name commonly used for women and borne by various notable figures in arts, literature, and entertainment.
  • D. Yoko Littner
    Yoko Littner is a prominent, sharp-shooting heroine from the anime series "Tengen Toppa Gurren Lagann," known for her combat skills, distinctive appearance, and strong-willed personality.
  • E. Joan Jonas
    Joan Jonas is an influential American visual artist and pioneer of performance and video art whose experimental, multimedia works have significantly shaped contemporary art since the late 1960s.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7520550c4819081296546c8f534f1 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15500bb7881908b9799d7653aec72 completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.