Triple

T21183736
Position Surface form Disambiguated ID Type / Status
Subject Jin Akanishi E522020 entity
Predicate memberOf P10 FINISHED
Object KAT-TUN NE NERFINISHED

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: KAT-TUN | Statement: [Jin Akanishi, memberOf, KAT-TUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAT-TUN
Context triple: [Jin Akanishi, memberOf, KAT-TUN]
  • A. KAT-TUN chosen
    KAT-TUN is a popular Japanese boy band formed under Johnny & Associates, known for its energetic pop-rock music and strong presence in the J-pop scene.
  • B. Arashi
    Arashi is a popular Japanese boy band formed under Johnny & Associates, known for their chart-topping J-pop hits, television appearances, and widespread influence in Japanese entertainment.
  • C. Arashi
    Arashi was an Imperial Japanese Navy destroyer that served in World War II, notably participating in several Pacific naval engagements before being sunk in 1943.
  • D. The Idols
    The Idols were a short-lived New York City punk rock band from the late 1970s associated with the downtown club scene and members of the early punk movement.
  • E. Kumagai Gumi
    Kumagai Gumi is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure projects worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301f7f1c81908686866fdee57127 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:05 p.m.