Triple

T16100823
Position Surface form Disambiguated ID Type / Status
Subject Lucas Black E390613 entity
Predicate spouse P13 FINISHED
Object Maggie O’Brien
Maggie O’Brien is the wife of American actor Lucas Black, known for maintaining a largely private life outside of his film and television career.
E1193826 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: Maggie O’Brien | Statement: [Lucas Black, spouse, Maggie O’Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggie O’Brien
Context triple: [Lucas Black, spouse, Maggie O’Brien]
  • A. Maggie Joyner
    Maggie Joyner is a fictional character featured in the thriller novel "Central Intelligence."
  • B. Kim Storey
    Kim Storey is an architect and co-founder of the Canadian firm Brown and Storey Architects, known for her work in urban design and public space projects.
  • C. Lauren McKinney
    Lauren McKinney is an actress known for her role in the independent drama film "Paranoid Park," directed by Gus Van Sant.
  • D. Molly Davidson
    Molly Davidson is an overachieving, socially awkward high school senior who learns to balance academic ambition with personal growth and fun in the coming-of-age comedy film "Booksmart."
  • E. Courtney Frerichs
    Courtney Frerichs is an American middle-distance runner best known for specializing in the 3000-meter steeplechase and winning a silver medal at the 2020 Tokyo Olympics.
  • 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: Maggie O’Brien
Triple: [Lucas Black, spouse, Maggie O’Brien]
Generated description
Maggie O’Brien is the wife of American actor Lucas Black, known for maintaining a largely private life outside of his film and television career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maggie O’Brien
Target entity description: Maggie O’Brien is the wife of American actor Lucas Black, known for maintaining a largely private life outside of his film and television career.
  • A. Maggie Joyner
    Maggie Joyner is a fictional character featured in the thriller novel "Central Intelligence."
  • B. Kim Storey
    Kim Storey is an architect and co-founder of the Canadian firm Brown and Storey Architects, known for her work in urban design and public space projects.
  • C. Lauren McKinney
    Lauren McKinney is an actress known for her role in the independent drama film "Paranoid Park," directed by Gus Van Sant.
  • D. Molly Davidson
    Molly Davidson is an overachieving, socially awkward high school senior who learns to balance academic ambition with personal growth and fun in the coming-of-age comedy film "Booksmart."
  • E. Courtney Frerichs
    Courtney Frerichs is an American middle-distance runner best known for specializing in the 3000-meter steeplechase and winning a silver medal at the 2020 Tokyo Olympics.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9d6140819087f9b3dc549c4aec completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec273abc8190b050c50a395488ba completed May 10, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffecbd817881909cd8e8c69be1726f completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 5 a.m.