Triple

T23066902
Position Surface form Disambiguated ID Type / Status
Subject Nellie Riley E575066 entity
Predicate hasRelativeByMarriage P7844 FINISHED
Object Nan Wooden
Nan Wooden was the daughter of legendary UCLA basketball coach John Wooden and a longtime educator and administrator at the university.
E1568255 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: Nan Wooden | Statement: [Nellie Riley, hasRelativeByMarriage, Nan Wooden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nan Wooden
Context triple: [Nellie Riley, hasRelativeByMarriage, Nan Wooden]
  • A. John Turtle Wood
    John Turtle Wood was a 19th-century British architect and archaeologist best known for uncovering the remains of the Temple of Artemis at Ephesus.
  • B. Wallace Wood
    Wallace Wood was an influential American comic book artist and writer, best known for his work with EC Comics, Mad magazine, and early Marvel titles.
  • C. Ian Woodard
    Ian Woodard is an individual notable enough to be recognized as a namesake of the surname Woodard.
  • D. Elam Lynds
    Elam Lynds was a 19th-century American prison warden and reformer known for implementing strict disciplinary systems in early U.S. penitentiaries.
  • E. Wallace Woods
    Wallace Woods is a historic residential neighborhood in Covington, Kentucky, known for its early 20th-century architecture and tree-lined streets.
  • 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: Nan Wooden
Triple: [Nellie Riley, hasRelativeByMarriage, Nan Wooden]
Generated description
Nan Wooden was the daughter of legendary UCLA basketball coach John Wooden and a longtime educator and administrator at the university.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nan Wooden
Target entity description: Nan Wooden was the daughter of legendary UCLA basketball coach John Wooden and a longtime educator and administrator at the university.
  • A. John Turtle Wood
    John Turtle Wood was a 19th-century British architect and archaeologist best known for uncovering the remains of the Temple of Artemis at Ephesus.
  • B. Wallace Wood
    Wallace Wood was an influential American comic book artist and writer, best known for his work with EC Comics, Mad magazine, and early Marvel titles.
  • C. Ian Woodard
    Ian Woodard is an individual notable enough to be recognized as a namesake of the surname Woodard.
  • D. Elam Lynds
    Elam Lynds was a 19th-century American prison warden and reformer known for implementing strict disciplinary systems in early U.S. penitentiaries.
  • E. Wallace Woods
    Wallace Woods is a historic residential neighborhood in Covington, Kentucky, known for its early 20th-century architecture and tree-lined streets.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0aeda4d88190b4e4e55ff36d00b1 completed May 19, 2026, 7:02 a.m.
NEDg Description generation batch_6a0c0cb059fc81908a4ff8c7cdf8a0bd completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0d995ea081908dd9d09d6d63ddfe completed May 19, 2026, 7:13 a.m.
Created at: April 17, 2026, 3:55 p.m.