Triple

T372820
Position Surface form Disambiguated ID Type / Status
Subject Yolanda King E8305 entity
Predicate givenName P17 FINISHED
Object Yolanda
Yolanda is a feminine given name used in various cultures, often associated with figures in the arts, activism, and public life.
E47296 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: Yolanda | Statement: [Yolanda King, givenName, Yolanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yolanda
Context triple: [Yolanda King, givenName, Yolanda]
  • A. Hurricane Hank
    Hurricane Hank was the nickname of Henry Armstrong, a legendary American boxer renowned for simultaneously holding world titles in three different weight divisions.
  • B. Katrina
    Katrina is a feminine given name of Dutch origin, notably borne by the character Katrina Van Tassel in Washington Irving’s "The Legend of Sleepy Hollow."
  • C. Sandy
    Sandy is a fictional character from Mark Twain’s satirical novel "A Connecticut Yankee in King Arthur’s Court," known as a medieval woman who becomes the companion and later wife of the time-traveling protagonist.
  • D. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • E. Hurricane
    The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
  • 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: Yolanda
Triple: [Yolanda King, givenName, Yolanda]
Generated description
Yolanda is a feminine given name used in various cultures, often associated with figures in the arts, activism, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yolanda
Target entity description: Yolanda is a feminine given name used in various cultures, often associated with figures in the arts, activism, and public life.
  • A. Hurricane Hank
    Hurricane Hank was the nickname of Henry Armstrong, a legendary American boxer renowned for simultaneously holding world titles in three different weight divisions.
  • B. Katrina
    Katrina is a feminine given name of Dutch origin, notably borne by the character Katrina Van Tassel in Washington Irving’s "The Legend of Sleepy Hollow."
  • C. Sandy
    Sandy is a fictional character from Mark Twain’s satirical novel "A Connecticut Yankee in King Arthur’s Court," known as a medieval woman who becomes the companion and later wife of the time-traveling protagonist.
  • D. Sandy
    Sandy is a common nickname or short form of the given name Alexander.
  • E. Hurricane
    The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec018d508190b5687a9ba90b3092 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f0a9608481908bee4d83768e6497 completed March 1, 2026, 7:54 a.m.
NEDg Description generation batch_69a3f131d1f88190ac131204c5402687 completed March 1, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69a3f202f308819098affb41d502d5fb completed March 1, 2026, 8 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.