Triple

T14439268
Position Surface form Disambiguated ID Type / Status
Subject StarTeam E358044 entity
Predicate developedBy P73 FINISHED
Object Micro Focus E209545 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: Micro Focus | Statement: [StarTeam, developedBy, Micro Focus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micro Focus
Context triple: [StarTeam, developedBy, Micro Focus]
  • A. Micro Focus chosen
    Micro Focus is a British multinational software and information technology company known for providing enterprise-level application modernization, testing, and management solutions.
  • B. Atria Software
    Atria Software was a software company best known for creating the ClearCase configuration management and version control system later acquired by Rational Software.
  • C. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • D. Guidance Software
    Guidance Software was a cybersecurity company best known for its EnCase digital forensics and endpoint security solutions used by enterprises and law enforcement agencies.
  • E. HCL Enterprise
    HCL Enterprise is an Indian multinational conglomerate with major interests in information technology and related services, best known as the founding group behind HCL Technologies.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648d8904819084d720a0fd2ddb4b completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.