Triple

T32517682
Position Surface form Disambiguated ID Type / Status
Subject Symantec Corporation E831101 entity
Predicate product P490 FINISHED
Object Norton Internet Security
Norton Internet Security is a consumer-focused security software suite that provides antivirus, firewall, and other protection features for Windows and Mac computers.
E563896 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: Norton Internet Security | Statement: [Symantec Corporation, product, Norton Internet Security]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Norton Internet Security
Triple: [Symantec Corporation, product, Norton Internet Security]
Generated description
Norton Internet Security is a consumer-focused security software suite that provides antivirus, firewall, and other protection features for Windows and Mac computers.

Provenance (5 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c4aabff08190ad437b687dd41f8d completed May 3, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34928b79a08190bf44c0ac0aec36a8 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a34935caff8819097c46aa1de42eb95 completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3493c4efb881909c333ffbe0642910 completed June 19, 2026, 12:56 a.m.
Created at: May 1, 2026, 1 a.m.