Triple

T19446877
Position Surface form Disambiguated ID Type / Status
Subject Kevin Levin E486500 entity
Predicate hasVoiceActor P83203 FINISHED
Object Greg Cipes 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: Greg Cipes | Statement: [Kevin Levin, hasVoiceActor, Greg Cipes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Cipes
Context triple: [Kevin Levin, hasVoiceActor, Greg Cipes]
  • A. Greg Cipes chosen
    Greg Cipes is an American voice actor and musician best known for voicing energetic, comedic characters in animated series such as Beast Boy in Teen Titans and Michelangelo in the 2012 Teenage Mutant Ninja Turtles.
  • B. Larry Cipa
    Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
  • C. Brian Sipe
    Brian Sipe is a former NFL quarterback best known for his MVP-winning 1980 season with the Cleveland Browns as leader of the "Kardiac Kids."
  • D. Greg Ganske
    Greg Ganske is an American plastic surgeon and Republican politician who represented Iowa in the U.S. House of Representatives from 1995 to 2003.
  • E. Greg Latta
    Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.