Triple
T10562815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Queen Kills Seven Times |
E249268
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Sybil Danning
Sybil Danning is an Austrian actress and cult film icon known for her roles in European exploitation cinema and 1980s genre films.
|
E902596
|
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: Sybil Danning | Statement: [The Red Queen Kills Seven Times, starredActor, Sybil Danning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sybil Danning Context triple: [The Red Queen Kills Seven Times, starredActor, Sybil Danning]
-
A.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
B.
Judi Farr
Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
-
C.
Luana Patten
Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
-
D.
Elizabeth Daley
Elizabeth Daley is one of the daughters of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley.
-
E.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
- 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: Sybil Danning Triple: [The Red Queen Kills Seven Times, starredActor, Sybil Danning]
Generated description
Sybil Danning is an Austrian actress and cult film icon known for her roles in European exploitation cinema and 1980s genre films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sybil Danning Target entity description: Sybil Danning is an Austrian actress and cult film icon known for her roles in European exploitation cinema and 1980s genre films.
-
A.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
B.
Judi Farr
Judi Farr was an Australian actress known for her extensive work in theatre, film, and television, including prominent roles in classic Australian TV comedies and dramas.
-
C.
Luana Patten
Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
-
D.
Elizabeth Daley
Elizabeth Daley is one of the daughters of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley.
-
E.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527212dd081908629d91ce08f96a0 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c7b89a808190af9b2d4f37ad9012 |
completed | April 18, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69e3cefc00148190a1850dc6e31523c3 |
completed | April 18, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3d014a644819092c76aa02b573ca9 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 6, 2026, 12:36 p.m.