Triple

T5356591
Position Surface form Disambiguated ID Type / Status
Subject Frank Klopas E102706 entity
Predicate familyName P18 FINISHED
Object Klopas
Klopas is a Greek-American former professional soccer player and coach best known for his time with the Chicago Fire and the U.S. national team.
E514207 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: Klopas | Statement: [Frank Klopas, familyName, Klopas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klopas
Context triple: [Frank Klopas, familyName, Klopas]
  • A. Klopfer
    Klopfer is a German surname most notably associated with Gerhard Klopfer, a Nazi official involved in high-level administrative functions during the Third Reich.
  • B. 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.”
  • C. Bola
    Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
  • D. Kruklanki
    Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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: Klopas
Triple: [Frank Klopas, familyName, Klopas]
Generated description
Klopas is a Greek-American former professional soccer player and coach best known for his time with the Chicago Fire and the U.S. national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klopas
Target entity description: Klopas is a Greek-American former professional soccer player and coach best known for his time with the Chicago Fire and the U.S. national team.
  • A. Klopfer
    Klopfer is a German surname most notably associated with Gerhard Klopfer, a Nazi official involved in high-level administrative functions during the Third Reich.
  • B. 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.”
  • C. Bola
    Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
  • D. Kruklanki
    Kruklanki is a village in northern Poland known for its scenic lakes and forests within the Warmian-Masurian region.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e2b7b08190aca4c2855ff041de completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf228956d481909e9f3c11f4597cce completed March 21, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf230b571481909f76ada72d94c8d8 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.