Triple

T2910861
Position Surface form Disambiguated ID Type / Status
Subject Trollhunters: Tales of Arcadia E63678 entity
Predicate voiceCastMember P9616 FINISHED
Object Steven Yeun E242709 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: Steven Yeun | Statement: [Trollhunters: Tales of Arcadia, voiceCastMember, Steven Yeun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Yeun
Context triple: [Trollhunters: Tales of Arcadia, voiceCastMember, Steven Yeun]
  • A. Steven Yeun chosen
    Steven Yeun is a Korean-American actor best known for his roles in the TV series "The Walking Dead" and the films "Minari" and "Burning."
  • B. Lee Jung-jae
    Lee Jung-jae is a South Korean actor and former model renowned for his versatile film and television roles, gaining worldwide fame for his performance in the Netflix series "Squid Game."
  • C. Sung Kang
    Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
  • D. Jung Jae-il
    Jung Jae-il is a South Korean composer and musician best known internationally for his atmospheric and unsettling scores for acclaimed works like the series "Squid Game" and the film "Parasite."
  • E. Ban Woo-hyun
    Ban Woo-hyun is one of the children of former UN Secretary-General Ban Ki-moon and his wife Yoo Soon-taek.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ea0ae4819096f17d74072b0b78 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0561b8e6c8190be69fd39bdd19cca completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.