Triple
T19469660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comfort of Strangers |
E487087
|
entity |
| Predicate | filmAdaptationActor |
P114853
|
FINISHED |
| Object | Christopher Walken |
—
|
NE NERFINISHED |
How this triple was built (3 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: Christopher Walken | Statement: [The Comfort of Strangers, filmAdaptationActor, Christopher Walken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Walken Context triple: [The Comfort of Strangers, filmAdaptationActor, Christopher Walken]
-
A.
Christopher Walken
chosen
Christopher Walken is an American actor known for his distinctive voice, eccentric screen presence, and memorable roles in films such as "The Deer Hunter," "Pulp Fiction," and "Catch Me If You Can."
-
B.
Chris Sarandon
Chris Sarandon is an American actor known for his acclaimed supporting role in "Dog Day Afternoon" and for memorable performances in films such as "The Princess Bride" and "Fright Night."
-
C.
Rutger Hauer
Rutger Hauer was a Dutch actor renowned for his charismatic and often menacing performances in films such as "Blade Runner," "The Hitcher," and numerous international productions.
-
D.
Lance Henriksen
Lance Henriksen is an American character actor best known for his intense performances in science fiction and horror films such as the Alien franchise and the TV series Millennium.
-
E.
Miguel Ferrer
Miguel Ferrer was an American character actor known for his intense, often villainous roles in film and television, including notable performances in projects like "RoboCop," "Twin Peaks," and "NCIS: Los Angeles."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationActor Context triple: [The Comfort of Strangers, filmAdaptationActor, Christopher Walken]
-
A.
filmAdaptationStarred
chosen
Indicates that a particular person played a starring role in a specific film adaptation of a work.
-
B.
filmAdaptationEvaPerformer
Indicates that the subject is a performer who played the character Eva in a film adaptation of the referenced work.
-
C.
adaptedIntoFilmStarring
Indicates that a work has been adapted into a film in which a specified actor or set of actors star.
-
D.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
E.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
- F. None of above.
Provenance (3 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e6fd988190b79be580b65746fe |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.