Triple

T13513662
Position Surface form Disambiguated ID Type / Status
Subject Jeppe E322700 entity
Predicate hasRelatedName P3889 FINISHED
Object Jepser E322700 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: Jepser | Statement: [Jeppe, hasRelatedName, Jepser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jepser
Context triple: [Jeppe, hasRelatedName, Jepser]
  • A. Jesper
    Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • B. Jeppe chosen
    Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
  • C. Joppe
    Joppe is a specific area or water body within the Kagerplassen lake district in the Netherlands, known for recreational boating and watersports.
  • D. Jakan
    Jakan is an alternative name for the Yakan, an indigenous ethnolinguistic group primarily inhabiting Basilan Island in the southern Philippines.
  • E. Kasper
    Kasper is a surname most notably associated with former American football wide receiver Kevin Kasper.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8239c481909faf5a9c403b55f2 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:44 p.m.