Triple
T7394117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symantec (historical headquarters) |
E170577
|
entity |
| Predicate | associatedCompany |
P629
|
FINISHED |
| Object | Symantec |
E192676
|
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: Symantec | Statement: [Symantec (historical headquarters), associatedCompany, Symantec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symantec Context triple: [Symantec (historical headquarters), associatedCompany, Symantec]
-
A.
Symantec
chosen
Symantec is a cybersecurity and software company best known for its Norton antivirus products and enterprise security solutions.
-
B.
McAfee
McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
-
C.
Trend Micro
Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
-
D.
Comodo Group
Comodo Group is a cybersecurity company best known for its SSL certificates, internet security software, and secure web browser products.
-
E.
Norton Antivirus
Norton Antivirus is a widely used commercial antivirus and security software suite designed to protect computers and devices from malware, viruses, and other online threats.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2263b48819089319a2a2f0d3357 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ecf65388190a149efc77aedcd91 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:09 p.m.