Triple

T20854144
Position Surface form Disambiguated ID Type / Status
Subject Hanns Sachs E513434 entity
Predicate professionStartLocation P142114 FINISHED
Object Vienna NE NERFINISHED

How this triple was built (3 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: Vienna | Statement: [Hanns Sachs, professionStartLocation, Vienna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna
Context triple: [Hanns Sachs, professionStartLocation, Vienna]
  • A. Vienna chosen
    Vienna is the capital city of Austria, renowned for its rich imperial history, classical music heritage, and vibrant cultural and intellectual life.
  • B. Vienna
    Vienna is a small town in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • C. Vienna
    Vienna is the strong-willed saloon owner and central female protagonist in the 1954 Western film "Johnny Guitar."
  • D. Vienna
    Vienna is a suburban town in Fairfax County, Virginia, known for its residential neighborhoods, proximity to Washington, D.C., and access to the Washington Metro via the nearby Vienna/Fairfax–GMU station.
  • E. Vienna
    Vienna is the ancient Roman name for the city of Vienne in southeastern France, which was an important Roman settlement and administrative center in Gaul.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: professionStartLocation
Context triple: [Hanns Sachs, professionStartLocation, Vienna]
  • A. careerStart
    Indicates the point in time when an entity begins its professional career or main occupational activity.
  • B. careerStartAs
    Indicates the role, position, or occupation in which an individual first began their professional career.
  • C. earlierOccupation
    Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
  • D. studCareerBegan
    Indicates that a student's professional or academic career started at a specified time or institution.
  • E. occupationBegan
    Indicates the point in time when an entity started holding a particular occupation or job.
  • F. None of above. chosen

Provenance (4 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a6015081909f604a88d04b36ea completed April 21, 2026, 12:24 a.m.
PD Predicate disambiguation batch_69e5c9a593f481908beb457c29f1ce73 completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53c4d6881909b4d0a716fa5ed4a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:44 p.m.