Triple

T19460137
Position Surface form Disambiguated ID Type / Status
Subject Samsung Lions E486844 entity
Predicate notablePlayer P304 FINISHED
Object Oh Seung-hwan 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: Oh Seung-hwan | Statement: [Samsung Lions, notablePlayer, Oh Seung-hwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oh Seung-hwan
Context triple: [Samsung Lions, notablePlayer, Oh Seung-hwan]
  • A. Oh Seung-hwan chosen
    Oh Seung-hwan is a South Korean professional baseball relief pitcher renowned as one of the KBO League’s greatest closers and for his successful stints in Nippon Professional Baseball and Major League Baseball.
  • B. Jeong Ji-hoon
    Jeong Ji-hoon, better known by his stage name Rain, is a South Korean singer, actor, and music producer who gained international fame as a K-pop star and Hallyu icon.
  • C. Lee Hee-joon
    Lee Hee-joon is a South Korean actor known for his versatile performances in film, television dramas, and theater.
  • D. Jeong Woo-sung
    Jeong Woo-sung is a South Korean actor, director, and producer known for his leading roles in films such as "The Good, the Bad, the Weird" and "A Moment to Remember."
  • E. Oh Se-hoon
    Oh Se-hoon is a South Korean politician best known for serving multiple terms as the mayor of Seoul.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c7f4388190be8c207c94ba8889 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.