Triple

T18344148
Position Surface form Disambiguated ID Type / Status
Subject Sung-kyu Jung E439489 entity
Predicate familyName P18 FINISHED
Object Jung 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: Jung | Statement: [Sung-kyu Jung, familyName, Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jung
Context triple: [Sung-kyu Jung, familyName, Jung]
  • A. Jung chosen
    Jung is a common German and Korean surname borne by numerous notable individuals across fields such as psychology, politics, sports, and the arts.
  • B. Hermann Jung
    Hermann Jung was a 19th-century Swiss labor leader and prominent member of the International Workingmen's Association (First International).
  • C. Carl Jung
    Carl Jung was a Swiss psychiatrist and psychoanalyst who founded analytical psychology and introduced influential concepts such as the collective unconscious and archetypes.
  • D. Erich Neumann (psychologist)
    Erich Neumann (psychologist) was a German-born Israeli Jungian analyst and theorist best known for his influential works on depth psychology, archetypes, and the development of consciousness.
  • E. George Jung
    George Jung was an American drug trafficker and key figure in the U.S. cocaine trade of the 1970s and 1980s, whose life story inspired the film "Blow."
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f2c8ec8190b045482846a68204 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.