Triple

T5996687
Position Surface form Disambiguated ID Type / Status
Subject Peter Norton E133487 entity
Predicate softwareDeveloped P73 FINISHED
Object Norton Utilities E560735 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 Utilities | Statement: [Peter Norton, softwareDeveloped, Norton Utilities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norton Utilities
Context triple: [Peter Norton, softwareDeveloped, Norton Utilities]
  • 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 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.
  • C. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • D. Norton
    Norton is a town in Zimbabwe located near the Manyame River, known for its agricultural activities and proximity to the capital, Harare.
  • E. 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.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e963f3c819082dd755e328ab947 completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cd900a48190b5aa83c28b3dfc1a completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:05 p.m.