Triple

T5222029
Position Surface form Disambiguated ID Type / Status
Subject Young E117890 entity
Predicate hasVariant P455 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: [Young, hasVariant, Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jung
Context triple: [Young, hasVariant, 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. 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.
  • C. 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."
  • D. 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.
  • E. Sigmund
    Sigmund is the given name of Sigmund Freud, the pioneering Austrian neurologist and founder of psychoanalysis.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff49d708190a042dfab473a9646 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.