Triple

T870267
Position Surface form Disambiguated ID Type / Status
Subject Warner E18794 entity
Predicate hasVariant P455 FINISHED
Object Worner
Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
 E102246 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: Worner | Statement: [Warner, hasVariant, Worner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Worner
Context triple: [Warner, hasVariant, Worner]
  • A. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • B. Wilkinson
    Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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: Worner
Triple: [Warner, hasVariant, Worner]
Generated description
Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Worner
Target entity description: Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • A. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • B. Wilkinson
    Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac94d5ac81909feee876696da589 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3cb9a648190981182add42325f3 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a558c1308190810a139ad24dfc9d completed March 4, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7a5e744188190ae30544753fb9399 completed March 4, 2026, 3:24 a.m.
Created at: March 1, 2026, 7:39 p.m.