Triple

T5646481
Position Surface form Disambiguated ID Type / Status
Subject Anze Kopitar E124396 entity
Predicate givenName P17 FINISHED
Object Anže
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.
 E543488 NE FINISHED

How this triple was built (4 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: [Anze Kopitar, givenName, Anže]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anže
Context triple: [Anze Kopitar, givenName, Anže]
  • A. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • B. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • C. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • D. Željo
    Željo is the popular nickname of FK Željezničar Sarajevo, one of Bosnia and Herzegovina’s most successful and historically significant football clubs.
  • E. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anže
Triple: [Anze Kopitar, givenName, Anže]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anže
Target entity description: 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.
  • A. Damijan
    Damijan is a masculine given name, primarily used in Slavic countries, that is a variant of the name Damian.
  • B. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • C. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • D. Željo
    Željo is the popular nickname of FK Željezničar Sarajevo, one of Bosnia and Herzegovina’s most successful and historically significant football clubs.
  • E. Matija
    Matija is a South Slavic given name, equivalent to the English name Matthew.
  • F. None of above. chosen

Provenance (5 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022abf0108190b10b3a9fe1688bf9 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07db3f0448190bfcb66f5af5dbf99 completed March 22, 2026, 11:39 p.m.
NEDg Description generation batch_69c086fb34fc8190a7c521d41555840e completed March 23, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69c087493f808190bec82872e44af85c completed March 23, 2026, 12:20 a.m.
Created at: March 22, 2026, 3:41 p.m.