Triple

T6899044
Position Surface form Disambiguated ID Type / Status
Subject Craig Ferguson E159445 entity
Predicate spouse P13 FINISHED
Object Megan Wallace-Cunningham
Megan Wallace-Cunningham is an art dealer best known as the wife of Scottish-American comedian and former late-night talk show host Craig Ferguson.
 E658967 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: Megan Wallace-Cunningham | Statement: [Craig Ferguson, spouse, Megan Wallace-Cunningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Megan Wallace-Cunningham
Context triple: [Craig Ferguson, spouse, Megan Wallace-Cunningham]
  • A. Megan Gill
    Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
  • B. Megan Everett
    Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
  • C. Megan Foster
    Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
  • D. Megan Walsh
    Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
  • E. Megan McArthur
    Megan McArthur is a NASA astronaut and oceanographer best known for her role as a mission specialist on Space Shuttle missions, including the final Hubble Space Telescope servicing flight.
  • 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: Megan Wallace-Cunningham
Triple: [Craig Ferguson, spouse, Megan Wallace-Cunningham]
Generated description
Megan Wallace-Cunningham is an art dealer best known as the wife of Scottish-American comedian and former late-night talk show host Craig Ferguson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Megan Wallace-Cunningham
Target entity description: Megan Wallace-Cunningham is an art dealer best known as the wife of Scottish-American comedian and former late-night talk show host Craig Ferguson.
  • A. Megan Gill
    Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
  • B. Megan Everett
    Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
  • C. Megan Foster
    Megan Foster is an American local government leader serving as the mayor of Coralville, Iowa.
  • D. Megan Walsh
    Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
  • E. Megan McArthur
    Megan McArthur is a NASA astronaut and oceanographer best known for her role as a mission specialist on Space Shuttle missions, including the final Hubble Space Telescope servicing flight.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95d67448190857f36b8115b03f6 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa5cf190819093f3dc9513361e49 completed March 28, 2026, 3:57 p.m.
NEDg Description generation batch_69c7fbafa2a08190bcfc407d1a6c0d2b completed March 28, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc14691481909d8d029c5c42cd14 completed March 28, 2026, 4:04 p.m.
Created at: March 27, 2026, 2:24 p.m.