Triple

T1036319
Position Surface form Disambiguated ID Type / Status
Subject Frank Sullivan E22370 entity
Predicate employer P7 FINISHED
Object Bentley University E58965 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: Bentley University | Statement: [Frank Sullivan, employer, Bentley University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentley University
Context triple: [Frank Sullivan, employer, Bentley University]
  • A. Bentley University chosen
    Bentley University is a private business-focused university located in Waltham, Massachusetts, known for its programs in business, finance, and accounting.
  • B. Babson College
    Babson College is a private business-focused college in Wellesley, Massachusetts, renowned for its entrepreneurship education.
  • C. Fairfield University
    Fairfield University is a private Jesuit Catholic university known for its liberal arts, business, and nursing programs, located in Fairfield, Connecticut.
  • D. Simmons University
    Simmons University is a private university in Boston, Massachusetts, known for its women-centered undergraduate programs, professional graduate schools, and proximity to the Longwood Medical Area.
  • E. Suffolk University
    Suffolk University is a private university in downtown Boston known for its law school and strong programs in business, government, and public service.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82a1014819085bfc077e24c9742 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3a5cac081908d655e42a58a81c5 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:41 p.m.