Triple

T7469989
Position Surface form Disambiguated ID Type / Status
Subject Christopher Nixon Cox E176476 entity
Predicate academicDegree P6 FINISHED
Object MBA E2016 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: MBA | Statement: [Christopher Nixon Cox, academicDegree, MBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBA
Context triple: [Christopher Nixon Cox, academicDegree, MBA]
  • A. MBA
    MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
  • B. MBA chosen
    The MBA is a prestigious graduate-level business degree designed to develop advanced leadership, management, and analytical skills for careers in business and related fields.
  • C. MSc in Management
    The MSc in Management is a graduate-level business degree focused on developing advanced analytical, research, and managerial skills for careers in academia, consulting, and organizational leadership.
  • D. Association of MBAs
    The Association of MBAs (AMBA) is an international accreditation body that evaluates and endorses postgraduate business programs, particularly MBA degrees, to ensure high standards of quality and global recognition.
  • E. BBA
    BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f845e081908117783ff1e63e23 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c625a388190bfe9237568ab2005 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:41 p.m.