Triple

T9982543
Position Surface form Disambiguated ID Type / Status
Subject Charles Taylor E196487 entity
Predicate education P5 FINISHED
Object Bentley College 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 College | Statement: [Charles Taylor, education, Bentley College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentley College
Context triple: [Charles Taylor, education, Bentley College]
  • 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. Curry College
    Curry College is a private liberal arts institution of higher education located in Milton, Massachusetts.
  • C. Fergusson College
    Fergusson College is a historic and prestigious liberal arts and science institution in Pune, India, known for its academic excellence and influential alumni.
  • D. Babson College
    Babson College is a private business-focused college in Wellesley, Massachusetts, renowned for its entrepreneurship education.
  • E. Regis College
    Regis College is a private Catholic university in Weston, Massachusetts, known for its programs in nursing, health sciences, education, and the liberal arts.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257e888908190a7187e26ba025a44 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.