Triple

T10654320
Position Surface form Disambiguated ID Type / Status
Subject Edgar Jung E251049 entity
Predicate familyName P18 FINISHED
Object Jung E94848 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: Jung | Statement: [Edgar Jung, familyName, Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jung
Context triple: [Edgar 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. 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."
  • E. Erich Neumann
    Erich Neumann was a German economist and Nazi official who held senior positions in the Third Reich’s economic administration and participated in high-level policy meetings during World War II.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff85674819099bf40c9f4fede15 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a71fac48190a6d7c99ebc5aad0a completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.