Triple

T9618040
Position Surface form Disambiguated ID Type / Status
Subject John Boehner E232267 entity
Predicate education P5 FINISHED
Object Moeller High School E278537 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: Moeller High School | Statement: [John Boehner, education, Moeller High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moeller High School
Context triple: [John Boehner, education, Moeller High School]
  • A. Moeller High School chosen
    Moeller High School is a renowned all-boys Catholic college-preparatory high school in Cincinnati, Ohio, known for its strong athletics program and notable alumni.
  • B. Washington High School
    Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
  • C. Marcus High School
    Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
  • D. Mills High School
    Mills High School is a public secondary school located in Millbrae, California, serving students in grades 9–12 as part of the San Mateo Union High School District.
  • E. Moody High School
    Moody High School is a public secondary school serving students in the city of Moody, Alabama.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaf3a088190a00a7750c25b6c42 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190e248bc819080d0c72c9a65482d completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:09 p.m.