Triple

T7620021
Position Surface form Disambiguated ID Type / Status
Subject Norris E172464 entity
Predicate hasVariant P455 FINISHED
Object Norrice
Norrice is a given name or surname that functions as a variant form of the name Norris.
 E676428 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: Norrice | Statement: [Norris, hasVariant, Norrice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norrice
Context triple: [Norris, hasVariant, Norrice]
  • A. Eythorne
    Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
  • B. Dornod
    Dornod is a sparsely populated eastern province of Mongolia known for its vast steppe landscapes and strategic location bordering both Russia and China.
  • C. Rhynern
    Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • D. Rowardennan
    Rowardennan is a small village on the eastern shore of Loch Lomond in Scotland, known as a popular starting point for climbs up Ben Lomond.
  • E. Whitemere
    Whitemere is a natural mere (shallow lake) in Shropshire, England, known as one of the smaller lakes within the Ellesmere meres system.
  • 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: Norrice
Triple: [Norris, hasVariant, Norrice]
Generated description
Norrice is a given name or surname that functions as a variant form of the name Norris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norrice
Target entity description: Norrice is a given name or surname that functions as a variant form of the name Norris.
  • A. Eythorne
    Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
  • B. Dornod
    Dornod is a sparsely populated eastern province of Mongolia known for its vast steppe landscapes and strategic location bordering both Russia and China.
  • C. Rhynern
    Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • D. Rowardennan
    Rowardennan is a small village on the eastern shore of Loch Lomond in Scotland, known as a popular starting point for climbs up Ben Lomond.
  • E. Whitemere
    Whitemere is a natural mere (shallow lake) in Shropshire, England, known as one of the smaller lakes within the Ellesmere meres system.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6148a88190be5150313fe23e7b completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86874d5e48190a07c48f667fb8f6e completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c868d21b688190ba2f6ad849f4bde5 completed March 28, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_69c869d14ae08190b2742af3878333e6 completed March 28, 2026, 11:52 p.m.
Created at: March 27, 2026, 3:55 p.m.