Triple
T7885502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenText Corporation |
E183091
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Micro Focus International |
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 International | Statement: [OpenText Corporation, hasSubsidiary, Micro Focus International]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micro Focus International Context triple: [OpenText Corporation, hasSubsidiary, Micro Focus International]
-
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.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
-
C.
Hewlett Packard Enterprise
Hewlett Packard Enterprise is a major American multinational enterprise IT company that provides servers, storage, networking, and related services to business and government customers worldwide.
-
D.
Amadeus IT Group
Amadeus IT Group is a leading global travel technology company that provides reservation, distribution, and IT solutions for airlines, travel agencies, hotels, and other travel industry players.
-
E.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d62a148190bed4e0d199aa427b |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfb5d7e08190a04dc9d3dc35a0e6 |
completed | March 31, 2026, 2:52 p.m. |
Created at: March 30, 2026, 4:59 p.m.