Triple

T20773305
Position Surface form Disambiguated ID Type / Status
Subject Vibeke E511291 entity
Predicate hasCognate P2525 FINISHED
Object Wiebke 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: Wiebke | Statement: [Vibeke, hasCognate, Wiebke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiebke
Context triple: [Vibeke, hasCognate, Wiebke]
  • A. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • B. Ulrike chosen
    Ulrike is a German given name, typically feminine, derived from the name Ulrich and associated with German-speaking countries.
  • C. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • D. Thilde
    Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
  • E. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c269638881909d96b847f7de5585 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.