Triple

T21771605
Position Surface form Disambiguated ID Type / Status
Subject Anže Kopitar E537445 entity
Predicate givenName P17 FINISHED
Object Anže 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: Anže | Statement: [Anže Kopitar, givenName, Anže]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anže
Context triple: [Anže Kopitar, givenName, Anže]
  • A. Anže chosen
    Anže is the Slovene given name of Anže Kopitar, a prominent Slovenian professional ice hockey player and longtime captain of the Los Angeles Kings in the NHL.
  • B. Zdenko
    Zdenko is the given name of Ferdinand Zdenko, the 8th Prince Lobkowicz, a member of the prominent Bohemian noble Lobkowicz family.
  • C. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • D. Sebastjan
    Sebastjan is a given name, primarily used in Slavic regions, that corresponds to the French name Sébastien and the English name Sebastian.
  • E. Alojz
    Alojz is a given name, primarily used in Central and Eastern Europe, that is a linguistic variant of the name Alois.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031aea8c88190b4bc57df6f269ba6 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.