Triple

T19283984
Position Surface form Disambiguated ID Type / Status
Subject Anneke E482260 entity
Predicate relatedName P3889 FINISHED
Object Anke 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: Anke | Statement: [Anneke, relatedName, Anke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anke
Context triple: [Anneke, relatedName, Anke]
  • A. Anja
    Anja is a feminine given name commonly used in various European countries, often considered a variant of Anna.
  • B. Anneke chosen
    Anneke is a feminine given name of Dutch origin, commonly used in the Netherlands and other Germanic-language regions.
  • C. Annelise
    Annelise is a central character in the television sitcom "Grandfathered," playing a key role in the show's comedic and relational dynamics.
  • D. Annelise
    Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
  • E. Annable
    Annable is the married surname of American actress Odette Yustman, known professionally as Odette Annable.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc0099148190bfec8e8eadc72406 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.