Triple

T2978865
Position Surface form Disambiguated ID Type / Status
Subject Burroughs Corporation E80461 entity
Predicate dissolvedInto P77 FINISHED
Object Unisys E317206 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: Unisys | Statement: [Burroughs Corporation, dissolvedInto, Unisys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unisys
Context triple: [Burroughs Corporation, dissolvedInto, Unisys]
  • A. Unisys chosen
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • B. 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.
  • C. Public Systems Group
    Public Systems Group is a Mitsubishi Electric business division focused on providing infrastructure and public-sector systems and solutions.
  • D. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • E. Massachusetts Computer Associates
    Massachusetts Computer Associates was a pioneering computer science research and software development company active in the 1960s–1970s, known for employing influential computer scientists such as Leslie Lamport.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de999ff88190824ecdc164496d37 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:58 p.m.