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.