Triple

T5646482
Position Surface form Disambiguated ID Type / Status
Subject Anze Kopitar E124396 entity
Predicate familyName P18 FINISHED
Object Kopitar
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
 E537445 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: Kopitar | Statement: [Anze Kopitar, familyName, Kopitar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kopitar
Context triple: [Anze Kopitar, familyName, Kopitar]
  • A. Pavao
    Pavao is a South Slavic given name, equivalent to the English name Paul.
  • B. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • C. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • D. Miljacka
    The Miljacka is a river in Bosnia and Herzegovina that flows through the center of Sarajevo and is closely associated with the city's history and urban landscape.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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: Kopitar
Triple: [Anze Kopitar, familyName, Kopitar]
Generated description
Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kopitar
Target entity description: Kopitar is a Slovenian surname most prominently associated with Anze Kopitar, a star center and longtime captain of the NHL’s Los Angeles Kings.
  • A. Pavao
    Pavao is a South Slavic given name, equivalent to the English name Paul.
  • B. Pavka
    Pavka is a diminutive or affectionate nickname commonly used for the Slavic given name Pavel.
  • C. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • D. Miljacka
    The Miljacka is a river in Bosnia and Herzegovina that flows through the center of Sarajevo and is closely associated with the city's history and urban landscape.
  • E. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • 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_69c04d88bbf08190b32d1ad157e28fe4 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edbf1f081908d74d0ac29601a35 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7e64c88190bbced2f2460c1913 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:41 p.m.