Triple

T4190800
Position Surface form Disambiguated ID Type / Status
Subject Norton E89028 entity
Predicate hasVariantSpelling P457 FINISHED
Object Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
 E420624 NE FINISHED

How this triple was built (4 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: Nortone | Statement: [Norton, hasVariantSpelling, Nortone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nortone
Context triple: [Norton, hasVariantSpelling, Nortone]
  • A. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • B. Natone
    Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • C. Tascott
    Tascott is a coastal suburb on the Central Coast of New South Wales, Australia, situated along the shores of Brisbane Water.
  • D. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • E. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Nortone
Triple: [Norton, hasVariantSpelling, Nortone]
Generated description
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nortone
Target entity description: Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
  • A. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • B. Natone
    Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
  • C. Tascott
    Tascott is a coastal suburb on the Central Coast of New South Wales, Australia, situated along the shores of Brisbane Water.
  • D. Dunvant
    Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
  • E. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • F. None of above. chosen

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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034019848190bd5486521c375325 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a05e634819094bbe145f86d8786 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e337aec819092020d46ee235fd1 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e9f50948190a40254375e76153c completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:46 p.m.