Triple

T9618041
Position Surface form Disambiguated ID Type / Status
Subject John Boehner E232267 entity
Predicate education P5 FINISHED
Object Xavier University E74980 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: Xavier University | Statement: [John Boehner, education, Xavier University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xavier University
Context triple: [John Boehner, education, Xavier University]
  • A. Xavier University chosen
    Xavier University is a private Jesuit Catholic university known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • B. Loyola
    Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
  • C. John Carroll University
    John Carroll University is a private Jesuit Catholic university in University Heights, Ohio, known for its liberal arts and business programs.
  • D. University of Dayton
    The University of Dayton is a private Catholic research university in Dayton, Ohio, known for its strong engineering, business, and entrepreneurship programs and its Marianist educational tradition.
  • E. Duquesne University
    Duquesne University is a private Catholic research university in Pittsburgh, Pennsylvania, known for its strong programs in health sciences, law, and business.
  • 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_69d18225f9508190bde23b9d2a40bccc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:09 p.m.