Triple

T16407737
Position Surface form Disambiguated ID Type / Status
Subject David L. Lander E398478 entity
Predicate spouse P13 FINISHED
Object Kathy Fields
Kathy Fields is an American actress and photographer, known for her work in film and television and for being married to actor David L. Lander.
E1355416 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: Kathy Fields | Statement: [David L. Lander, spouse, Kathy Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Fields
Context triple: [David L. Lander, spouse, Kathy Fields]
  • A. Kathy Jordan
    Kathy Jordan is best known as the former wife of American civil rights activist and Baptist minister Al Sharpton.
  • B. Kathy Reynolds
    Kathy Reynolds is a central fictional character in the American Civil War television miniseries "The Blue and the Gray," around whom much of the story’s personal and emotional drama revolves.
  • C. Kathy Speer
    Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
  • D. Kathy McMillan
    Kathy McMillan is an American long jumper best known for winning the silver medal at the 1976 Montreal Olympic Games.
  • E. Kathy Hemmens
    Kathy Hemmens is known as the wife of renowned blues guitarist Matt "Guitar" Murphy.
  • 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: Kathy Fields
Triple: [David L. Lander, spouse, Kathy Fields]
Generated description
Kathy Fields is an American actress and photographer, known for her work in film and television and for being married to actor David L. Lander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kathy Fields
Target entity description: Kathy Fields is an American actress and photographer, known for her work in film and television and for being married to actor David L. Lander.
  • A. Kathy Jordan
    Kathy Jordan is best known as the former wife of American civil rights activist and Baptist minister Al Sharpton.
  • B. Kathy Reynolds
    Kathy Reynolds is a central fictional character in the American Civil War television miniseries "The Blue and the Gray," around whom much of the story’s personal and emotional drama revolves.
  • C. Kathy Speer
    Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
  • D. Kathy McMillan
    Kathy McMillan is an American long jumper best known for winning the silver medal at the 1976 Montreal Olympic Games.
  • E. Kathy Hemmens
    Kathy Hemmens is known as the wife of renowned blues guitarist Matt "Guitar" Murphy.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c53165b8819084de86f43bee9d41 completed May 14, 2026, 12:50 p.m.
NEDg Description generation batch_6a05c5faf4ec81909b53c03668852872 completed May 14, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_6a05c6578a2081908d03d3d86e56a157 completed May 14, 2026, 12:55 p.m.
Created at: April 10, 2026, 5:09 a.m.