Triple
T23423777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norton Utilities |
E560735
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Norton System Information |
—
|
NE NERFINISHED |
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: Norton System Information | Statement: [Norton Utilities, component, Norton System Information]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norton System Information Context triple: [Norton Utilities, component, Norton System Information]
-
A.
Norton Utilities
chosen
Norton Utilities is a software suite of diagnostic and optimization tools for DOS and Windows computers, originally developed by Peter Norton to help maintain and repair PC systems.
-
B.
Norton
Norton is a dark-skinned American grape variety, historically significant in Midwestern and Eastern U.S. winemaking for producing deeply colored, full-bodied red wines with notable disease resistance.
-
C.
Norton
Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
-
D.
Norton
Norton is a residential suburb within the town of Runcorn in Cheshire, England.
-
E.
Norton
Norton is a well-known cybersecurity and antivirus software brand that provides protection solutions for personal computers, mobile devices, and online activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54838fc8190a3205ca72daaf107 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.