Triple

T15711736
Position Surface form Disambiguated ID Type / Status
Subject JuJu Chan E380854 entity
Predicate name P16 FINISHED
Object JuJu Chan E380854 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: JuJu Chan | Statement: [JuJu Chan, name, JuJu Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JuJu Chan
Context triple: [JuJu Chan, name, JuJu Chan]
  • A. JuJu Chan chosen
    JuJu Chan is a Hong Kong-American actress and martial artist known for her action roles in film and television, often drawing comparisons to Bruce Lee.
  • B. Yuta Watase
    Yuta Watase is a Japanese ski jumper who has competed internationally as a member of Japan’s national team.
  • C. Yuta Nakamura
    Yuta Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the Nakamura surname.
  • D. ジュン
    ジュンは、日本語で人名やキャラクター名などによく用いられるカタカナ表記の名前です。
  • E. Tsuneta Yano
    Tsuneta Yano was a Japanese businessman best known as the pioneering founder of what became one of Japan’s major life insurance companies.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.