Triple

T22025274
Position Surface form Disambiguated ID Type / Status
Subject Cardinal Dougherty High School E543942 entity
Predicate hasAlumnus P51 FINISHED
Object Kyle Lowry 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: Kyle Lowry | Statement: [Cardinal Dougherty High School, hasAlumnus, Kyle Lowry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle Lowry
Context triple: [Cardinal Dougherty High School, hasAlumnus, Kyle Lowry]
  • A. Kyle Lowry chosen
    Kyle Lowry is an American professional basketball point guard best known for his leadership and playmaking during the Toronto Raptors’ rise to NBA championship contention.
  • B. Kelly Olynyk
    Kelly Olynyk is a Canadian professional basketball player and NBA veteran known for his versatile scoring and playmaking as a stretch big man.
  • C. Dwayne Mitchell
    Dwayne Mitchell is a music producer known for his work on Brian McKnight’s self-titled debut album.
  • D. Richard Van Vleet
    Richard Van Vleet is an American actor best known for his long-running role as Dr. Chuck Tyler on the soap opera "All My Children."
  • E. Tyler Ennis
    Tyler Ennis is a Canadian professional ice hockey center who has played in the NHL for multiple teams, known for his speed, offensive skill, and playmaking ability.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.