Triple

T14841487
Position Surface form Disambiguated ID Type / Status
Subject George Brent E348974 entity
Predicate spouse P13 FINISHED
Object Janet Michaels
Janet Michaels was the wife of Irish-American film and television actor George Brent.
 E1121947 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: Janet Michaels | Statement: [George Brent, spouse, Janet Michaels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Janet Michaels
Context triple: [George Brent, spouse, Janet Michaels]
  • A. Lenore Mills
    Lenore Mills is the protagonist of the film "Taken," around whom the story’s kidnapping and rescue plot revolves.
  • B. Kathy Kinney
    Kathy Kinney is an American actress and comedian best known for her flamboyant, sharp-tongued character Mimi Bobeck on the sitcom "The Drew Carey Show."
  • C. Janet Shearon
    Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
  • D. John Peterman
    John Peterman is an American entrepreneur best known as the charismatic founder of the J. Peterman Company, a catalog retailer famed for its literary, adventure-themed product descriptions.
  • E. Paula Liveris
    Paula Liveris is the wife of Andrew Liveris, the former CEO and chairman of Dow Chemical Company.
  • 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: Janet Michaels
Triple: [George Brent, spouse, Janet Michaels]
Generated description
Janet Michaels was the wife of Irish-American film and television actor George Brent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Janet Michaels
Target entity description: Janet Michaels was the wife of Irish-American film and television actor George Brent.
  • A. Lenore Mills
    Lenore Mills is the protagonist of the film "Taken," around whom the story’s kidnapping and rescue plot revolves.
  • B. Kathy Kinney
    Kathy Kinney is an American actress and comedian best known for her flamboyant, sharp-tongued character Mimi Bobeck on the sitcom "The Drew Carey Show."
  • C. Janet Shearon
    Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
  • D. John Peterman
    John Peterman is an American entrepreneur best known as the charismatic founder of the J. Peterman Company, a catalog retailer famed for its literary, adventure-themed product descriptions.
  • E. Paula Liveris
    Paula Liveris is the wife of Andrew Liveris, the former CEO and chairman of Dow Chemical Company.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3d0eca948190b107bc593b6e5b72 completed May 8, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_69fe3d94785881908911a7c6f1546d45 completed May 8, 2026, 7:46 p.m.
Created at: April 10, 2026, 1:53 a.m.