Triple

T6966167
Position Surface form Disambiguated ID Type / Status
Subject 704 Hauser E161492 entity
Predicate portrayedBy P1507 FINISHED
Object Lynnie Godfrey
Lynnie Godfrey is an American actress and singer known for her work in television, film, and theater, particularly in roles highlighting African American experiences.
E691840 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: Lynnie Godfrey | Statement: [704 Hauser, portrayedBy, Lynnie Godfrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynnie Godfrey
Context triple: [704 Hauser, portrayedBy, Lynnie Godfrey]
  • A. Shannon Doughton
    Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
  • B. Lorrie Marlow
    Lorrie Marlow is known as the spouse of American actor and producer Robert Hooks.
  • C. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • D. Lynzee Klingman
    Lynzee Klingman was an American film editor known for her work on acclaimed films such as *One Flew Over the Cuckoo’s Nest* and *Little Man Tate*.
  • E. Jolene Parker
    Jolene Parker is a fictional character portrayed by actress Rachel Brosnahan.
  • 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: Lynnie Godfrey
Triple: [704 Hauser, portrayedBy, Lynnie Godfrey]
Generated description
Lynnie Godfrey is an American actress and singer known for her work in television, film, and theater, particularly in roles highlighting African American experiences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lynnie Godfrey
Target entity description: Lynnie Godfrey is an American actress and singer known for her work in television, film, and theater, particularly in roles highlighting African American experiences.
  • A. Shannon Doughton
    Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
  • B. Lorrie Marlow
    Lorrie Marlow is known as the spouse of American actor and producer Robert Hooks.
  • C. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • D. Lynzee Klingman
    Lynzee Klingman was an American film editor known for her work on acclaimed films such as *One Flew Over the Cuckoo’s Nest* and *Little Man Tate*.
  • E. Jolene Parker
    Jolene Parker is a fictional character portrayed by actress Rachel Brosnahan.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db121174819098e73e45f6c9cc91 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9bcbe7f488190aee034a51e8a281b completed March 29, 2026, 11:58 p.m.
NEDg Description generation batch_69c9bd2305a481909ac1ce38edf50650 completed March 30, 2026, midnight
NED2 Entity disambiguation (via description) batch_69c9bdbf97188190a0a97d8a832f54f4 completed March 30, 2026, 12:03 a.m.
Created at: March 27, 2026, 2:30 p.m.