Triple

T796120
Position Surface form Disambiguated ID Type / Status
Subject Imme Jung E17024 entity
Predicate familyName P18 FINISHED
Object Jung
Jung is a common German and Korean surname borne by numerous notable individuals across fields such as psychology, politics, sports, and the arts.
 E94848 NE FINISHED

How this triple was built (4 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: [Imme Jung, familyName, Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jung
Context triple: [Imme Jung, familyName, Jung]
  • A. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • B. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • C. Imme Jung
    Imme Jung is best known as the wife of renowned theoretical physicist and mathematician Freeman Dyson.
  • D. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Bardeen
    Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jung
Triple: [Imme Jung, familyName, Jung]
Generated description
Jung is a common German and Korean surname borne by numerous notable individuals across fields such as psychology, politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jung
Target entity description: Jung is a common German and Korean surname borne by numerous notable individuals across fields such as psychology, politics, sports, and the arts.
  • A. Gardner
    Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
  • B. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • C. Imme Jung
    Imme Jung is best known as the wife of renowned theoretical physicist and mathematician Freeman Dyson.
  • D. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Bardeen
    Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • F. None of above. chosen

Provenance (5 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b172e88190a26d31c9075b81fb completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67effd3b481909036bdc43d7b909f completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67fd11a5081909d068eabe31b2187 completed March 3, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69a680bae34481909255d07f325d97d4 completed March 3, 2026, 6:33 a.m.
Created at: March 1, 2026, 7:38 p.m.