Triple

T17812865
Position Surface form Disambiguated ID Type / Status
Subject World Bowl XIII E444755 entity
Predicate notablePlayer P304 FINISHED
Object Kurt Kittner 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: Kurt Kittner | Statement: [World Bowl XIII, notablePlayer, Kurt Kittner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Kittner
Context triple: [World Bowl XIII, notablePlayer, Kurt Kittner]
  • A. Kurt Kittner chosen
    Kurt Kittner is a former American football quarterback best known for his standout collegiate career at the University of Illinois and a brief stint in the NFL, primarily with the Atlanta Falcons.
  • B. Hal Morgenstern
    Hal Morgenstern is an American epidemiologist known for his contributions to cancer epidemiology and methods in observational study design.
  • C. Perry North
    Perry North is a primarily residential neighborhood in the North Side of Pittsburgh, known for its hilly terrain and views overlooking the city.
  • D. Paul Armin Due
    Paul Armin Due was a Norwegian architect known for designing numerous railway stations and public buildings in Norway around the turn of the 20th century.
  • E. Peter S. Beagle
    Peter S. Beagle is an American fantasy author and screenwriter best known for writing the novel "The Last Unicorn" and contributing to various fantasy film and television projects.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887c63608190b29a407cabff0bc5 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.