Triple
T7885501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenText Corporation |
E183091
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Webroot Inc. |
E696315
|
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: Webroot Inc. | Statement: [OpenText Corporation, hasSubsidiary, Webroot Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webroot Inc. Context triple: [OpenText Corporation, hasSubsidiary, Webroot Inc.]
-
A.
Webroot Inc.
chosen
Webroot Inc. is a cybersecurity company best known for its cloud-based antivirus and internet security solutions for consumers and businesses.
-
B.
Comodo Group
Comodo Group is a cybersecurity company best known for its SSL certificates, internet security software, and secure web browser products.
-
C.
Trend Micro
Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
-
D.
McAfee
McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
-
E.
Cylance Inc.
Cylance Inc. is a cybersecurity company known for using artificial intelligence and machine learning to provide advanced threat prevention solutions.
- 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.