Triple
T9988100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Peaks: The Return |
E196818
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Sherilyn Fenn
Sherilyn Fenn is an American actress best known for her iconic role as Audrey Horne in David Lynch’s Twin Peaks franchise.
|
E840274
|
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: Sherilyn Fenn | Statement: [Twin Peaks: The Return, stars, Sherilyn Fenn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherilyn Fenn Context triple: [Twin Peaks: The Return, stars, Sherilyn Fenn]
-
A.
Nicole Kassell
Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
-
B.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
C.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
-
D.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
-
E.
Jorja Fox
Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
- 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: Sherilyn Fenn Triple: [Twin Peaks: The Return, stars, Sherilyn Fenn]
Generated description
Sherilyn Fenn is an American actress best known for her iconic role as Audrey Horne in David Lynch’s Twin Peaks franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sherilyn Fenn Target entity description: Sherilyn Fenn is an American actress best known for her iconic role as Audrey Horne in David Lynch’s Twin Peaks franchise.
-
A.
Nicole Kassell
Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
-
B.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
C.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
-
D.
Heather Lind
Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
-
E.
Jorja Fox
Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79e10408190bcb4e55b6a0df79c |
completed | April 2, 2026, 1:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5e243548190b77328b5ce9e8028 |
completed | April 5, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d2b741cad481909f04e2f8da68753c |
completed | April 5, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b805afa08190a43745d764a75050 |
completed | April 5, 2026, 7:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.