Triple

T16285318
Position Surface form Disambiguated ID Type / Status
Subject Adtalem Global Education E395374 entity
Predicate foundedAs P364 FINISHED
Object DeVry Inc. E16833 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: DeVry Inc. | Statement: [Adtalem Global Education, foundedAs, DeVry Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeVry Inc.
Context triple: [Adtalem Global Education, foundedAs, DeVry Inc.]
  • A. DeVry Inc. chosen
    DeVry Inc. is a for-profit higher education company in the United States that operates DeVry University and related educational institutions.
  • B. Devry
    Devry is a surname most notably associated with American actress Elaine Devry, who appeared in numerous films and television shows from the 1950s onward.
  • C. Perot Systems
    Perot Systems was an American information technology services and consulting company founded by Ross Perot that provided outsourcing, systems integration, and technology solutions to businesses and governments worldwide.
  • D. Wayne Tech
    Wayne Tech is a high-tech research and development subsidiary of Wayne Enterprises in the Batman universe, specializing in advanced technology and innovation.
  • E. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24913a55081909a9a5a7a7f4806cc completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f93240881909d0beaddc92f0ad5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.