Triple

T20975167
Position Surface form Disambiguated ID Type / Status
Subject Cho Yo-han E516605 entity
Predicate notableWork P4 FINISHED
Object Selfie (TV series) 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: Selfie (TV series) | Statement: [Cho Yo-han, notableWork, Selfie (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selfie (TV series)
Context triple: [Cho Yo-han, notableWork, Selfie (TV series)]
  • A. Selfie (TV series) chosen
    Selfie is a short-lived 2014 American romantic comedy television series that modernizes My Fair Lady through the story of a social media-obsessed woman and the marketing expert who helps her reshape her image.
  • B. #Selfie
    "#Selfie" is a 2014 EDM-pop single by The Chainsmokers that went viral for its satirical take on nightclub culture and social media obsession.
  • C. Dear Me
    "Dear Me" is the witty and reflective autobiography of British actor, writer, and raconteur Peter Ustinov.
  • D. Me, Myself and I
    "Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
  • E. Elle Korea
    Elle Korea is the South Korean edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Korean culture, trends, and audiences.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba307d88190b728544d1b6d0bb6 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:46 p.m.