Triple

T2014938
Position Surface form Disambiguated ID Type / Status
Subject Soyeon Schröder-Kim E43772 entity
Predicate name P16 FINISHED
Object Soyeon Schröder-Kim E43772 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: Soyeon Schröder-Kim | Statement: [Soyeon Schröder-Kim, name, Soyeon Schröder-Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soyeon Schröder-Kim
Context triple: [Soyeon Schröder-Kim, name, Soyeon Schröder-Kim]
  • A. Soyeon Schröder-Kim chosen
    Soyeon Schröder-Kim is a South Korean-born businesswoman and interpreter best known as the fifth wife of former German chancellor Gerhard Schröder.
  • B. Yuna Kim
    Yuna Kim is a South Korean figure skating legend and Olympic champion widely celebrated for her technical excellence, artistry, and global impact on the sport.
  • C. Dongjin Seo
    Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
  • D. Emma Jung
    Emma Jung was a Swiss psychoanalyst and author who significantly contributed to analytical psychology and collaborated closely with her husband, Carl Jung.
  • E. Son Mi-na
    Son Mi-na is a South Korean athlete best known for delivering the Olympic Oath on behalf of all competitors at the 1988 Seoul Summer Games.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b610a88190bc10fd7dda19da08 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aeca6388190befe0630d44de109 completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:37 p.m.