Triple

T17395376
Position Surface form Disambiguated ID Type / Status
Subject Mike Vogel E422938 entity
Predicate educatedAt P5 FINISHED
Object William Tennent High School — 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: William Tennent High School | Statement: [Mike Vogel, educatedAt, William Tennent High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Tennent High School
Context triple: [Mike Vogel, educatedAt, William Tennent High School]
  • A. William Tennent High School chosen
    William Tennent High School is a public secondary school serving students in the Warminster area of Bucks County, Pennsylvania.
  • B. Trenton High School
    Trenton High School is a public secondary school serving students in the city of Trenton, Michigan.
  • C. Trenton High School
    Trenton High School is the main public secondary school serving students in the small rural community of Trenton, Florida.
  • D. Moorestown High School
    Moorestown High School is a public secondary school in Moorestown, New Jersey, known for its strong academics and successful alumni, including Olympic rower Susan Francia.
  • E. Richard Gahr High School
    Richard Gahr High School is a public high school in Cerritos, California, known for its diverse student body and strong academic and extracurricular programs.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abcd8b081908579ee9a80f65802 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.