Triple

T20785513
Position Surface form Disambiguated ID Type / Status
Subject Natasha E511622 entity
Predicate performer P1363 FINISHED
Object Wanna One 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: Wanna One | Statement: [Natasha, performer, Wanna One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanna One
Context triple: [Natasha, performer, Wanna One]
  • A. Wanna One chosen
    Wanna One was a popular South Korean boy group formed through the reality show "Produce 101 Season 2," known for their hit K-pop songs and large, dedicated fanbase.
  • B. Generation IX
    Generation IX is the ninth main installment in the Pokémon video game series, debuting a new era of games, species, and mechanics set primarily in the Paldea region.
  • C. Loona
    Loona is a celebrated Punjabi epic verse play by Shiv Kumar Batalvi that reimagines the traditional legend of Puran Bhagat from the perspective of the vilified stepmother, Loona.
  • D. Aespa
    Aespa is a small village located in Kiili Parish in northern Estonia.
  • E. iKON
    iKON is a South Korean boy band formed by YG Entertainment, known for their hip-hop-influenced K-pop music and energetic performances.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28b4ce88190a45f1c99b58d18eb completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.