Triple

T7819405
Position Surface form Disambiguated ID Type / Status
Subject Edvard Kardelj E181090 entity
Predicate givenName P17 FINISHED
Object Edvard E34142 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: Edvard | Statement: [Edvard Kardelj, givenName, Edvard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edvard
Context triple: [Edvard Kardelj, givenName, Edvard]
  • A. Edvard chosen
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • B. Ludvig
    Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
  • C. Olaf of Denmark
    Olaf of Denmark was a short-lived 15th-century Danish prince of the House of Oldenburg, known primarily as the son of King Christian I of Denmark.
  • D. John of Denmark
    John of Denmark was a 16th-century Danish prince, the son of King Christian II of Denmark and Isabella of Austria, who died in childhood.
  • E. John of Denmark
    John of Denmark was a Danish prince of the House of Oldenburg, known primarily as the son of King Frederick II and heir apparent who died before ascending the throne.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf97247c481908b18287eb7ee0a53 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a5c24908190847b612a56a1abf5 completed March 31, 2026, 5:23 a.m.
Created at: March 30, 2026, 4:40 p.m.