Triple

T7907970
Position Surface form Disambiguated ID Type / Status
Subject Mark Millar E183623 entity
Predicate creatorOf P806 FINISHED
Object MPH E317428 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: MPH | Statement: [Mark Millar, creatorOf, MPH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPH
Context triple: [Mark Millar, creatorOf, MPH]
  • A. MPH chosen
    MPH is the ICAO airline designator assigned to Martinair, a Dutch cargo and former passenger airline based in the Netherlands.
  • B. Master of Public Health
    The Master of Public Health is a graduate-level professional degree focused on developing expertise in public health practice, research, and policy to improve population health outcomes.
  • C. Doctor of Public Health
    The Doctor of Public Health (DrPH) is an advanced professional doctoral degree focused on developing leadership, policy, and practice expertise to address complex public health challenges.
  • D. BUSPH
    BUSPH is the graduate-level public health school of Boston University, known for its research, education, and training in population health and health policy.
  • E. MPA
    MPA is the Maryland Port Administration, the state agency responsible for managing and promoting Maryland’s public port facilities, including the Port of Baltimore.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a59de00819099f1ce02bb469e75 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bd0024c81909679a45612bcb1a7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:03 p.m.