Triple

T3993411
Position Surface form Disambiguated ID Type / Status
Subject Ross E87043 entity
Predicate hasVariant P455 FINISHED
Object de Ross
De Ross is a variant form of the surname Ross, typically associated with families of Scottish or Norman origin.
E404215 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: de Ross | Statement: [Ross, hasVariant, de Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Ross
Context triple: [Ross, hasVariant, de Ross]
  • A. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • B. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • C. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • D. Siston
    Siston is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings such as Siston Court.
  • E. De Wolden
    De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
  • 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: de Ross
Triple: [Ross, hasVariant, de Ross]
Generated description
De Ross is a variant form of the surname Ross, typically associated with families of Scottish or Norman origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Ross
Target entity description: De Ross is a variant form of the surname Ross, typically associated with families of Scottish or Norman origin.
  • A. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • B. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • C. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • D. Siston
    Siston is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings such as Siston Court.
  • E. De Wolden
    De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1d9d8c8190982d092a73d38564 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403970e08190bb491048b1bd7b16 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54112e3788190800e295a745c4689 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b541808d548190987ad1538c647664 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:33 p.m.