Triple

T16630865
Position Surface form Disambiguated ID Type / Status
Subject Whyte E404073 entity
Predicate derivedFrom P909 FINISHED
Object White (surname)
White is an English-language surname, typically of descriptive origin, historically referring to someone with fair hair or a pale complexion.
 E1225192 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: White (surname) | Statement: [Whyte, derivedFrom, White (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: White (surname)
Context triple: [Whyte, derivedFrom, White (surname)]
  • A. Brown (surname)
    Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • B. the White
    The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
  • C. Smith (surname)
    Smith is a common English occupational surname originally denoting a metalworker or blacksmith.
  • D. Fitzpatrick (surname)
    Fitzpatrick is an Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
  • E. Miller (surname)
    Miller is a common occupational surname of English and Scottish origin, traditionally given to people who operated mills.
  • 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: White (surname)
Triple: [Whyte, derivedFrom, White (surname)]
Generated description
White is an English-language surname, typically of descriptive origin, historically referring to someone with fair hair or a pale complexion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: White (surname)
Target entity description: White is an English-language surname, typically of descriptive origin, historically referring to someone with fair hair or a pale complexion.
  • A. Brown (surname)
    Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • B. the White
    The White was the nickname of Leszek I, a 13th-century High Duke of Poland from the Piast dynasty known for his turbulent reign and conflicts over the Polish throne.
  • C. Smith (surname)
    Smith is a common English occupational surname originally denoting a metalworker or blacksmith.
  • D. Fitzpatrick (surname)
    Fitzpatrick is an Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
  • E. Miller (surname)
    Miller is a common occupational surname of English and Scottish origin, traditionally given to people who operated mills.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e5d4448190bfb1b6157bbe5285 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbc6cf48190879b25e66c9453db completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a0081baf8188190be95383ffe68fbb8 completed May 10, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a008239a5348190aea3820cf8a7d3f6 completed May 10, 2026, 1:03 p.m.
Created at: April 10, 2026, 5:17 a.m.