Triple

T5356589
Position Surface form Disambiguated ID Type / Status
Subject Frank Klopas E102706 entity
Predicate name P16 FINISHED
Object Frank Klopas E102706 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: Frank Klopas | Statement: [Frank Klopas, name, Frank Klopas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Klopas
Context triple: [Frank Klopas, name, Frank Klopas]
  • A. Frank Klopas chosen
    Frank Klopas is a Greek-American former professional soccer player and coach best known for his long-standing association with the Chicago Fire as both a player and manager.
  • B. Philip LaZebnik
    Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
  • C. John Kapelos
    John Kapelos is a Canadian character actor best known for his roles in films like The Breakfast Club and numerous television series.
  • D. Larry Kellner
    Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
  • E. Ken Dedes
    Ken Dedes is a legendary Javanese queen regarded as the first queen of the Singhasari kingdom and a central figure in Indonesian historical and mythological narratives.
  • 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_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.
Created at: March 20, 2026, 2:01 p.m.