Triple

T21868768
Position Surface form Disambiguated ID Type / Status
Subject Jiphyeonjeon E539949 entity
Predicate employer P7 FINISHED
Object Jeong In-ji 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: Jeong In-ji | Statement: [Jiphyeonjeon, employer, Jeong In-ji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeong In-ji
Context triple: [Jiphyeonjeon, employer, Jeong In-ji]
  • A. Jeong In-ji chosen
    Jeong In-ji was a prominent 15th-century Korean scholar-official of the Joseon dynasty, renowned for his role in compiling major historical works and contributing to the intellectual activities of the Hall of Worthies.
  • B. Jeong Eun-ji
    Jeong Eun-ji is a South Korean singer and actress best known as the main vocalist of the girl group Apink and for her roles in popular television dramas.
  • C. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • D. Yoon Ga-eun
    Yoon Ga-eun is a South Korean film director and screenwriter known for her sensitive, realistic portrayals of children and adolescence.
  • E. Jung In-seo
    Jung In-seo is a South Korean actress and singer known for her roles in films and television dramas, as well as for her work as a child actress.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33305d081908cd070134420607a completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.