Triple
T22172406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Granik |
E547954
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Stray Dog |
—
|
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: Stray Dog | Statement: [Debra Granik, notableWork, Stray Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stray Dog Context triple: [Debra Granik, notableWork, Stray Dog]
-
A.
Stray Dog
Stray Dog is a 1949 Japanese crime drama film directed by Akira Kurosawa, often regarded as an early masterpiece of film noir–influenced police procedural cinema.
-
B.
The Stray Dog
The Stray Dog is a renowned short story by Iranian writer Sadegh Hedayat that poignantly explores themes of alienation, suffering, and the human condition through the perspective of a neglected dog.
-
C.
Three Dog
Three Dog is the charismatic, freedom-fighting DJ of Galaxy News Radio in Fallout 3, known for his distinctive voice, moral commentary, and guidance to the Lone Wanderer.
-
D.
White Dog
White Dog is a crime novel in the Jack Irish series by Australian author Peter Temple, featuring the Melbourne lawyer and debt-collector embroiled in a complex investigation.
-
E.
White Dog
White Dog is a 1982 American drama-horror film directed by Samuel Fuller that explores racism through the story of a dog trained to attack Black people.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stray Dog Target entity description: Stray Dog is a 2014 documentary film directed by Debra Granik that follows a Vietnam War veteran navigating life, trauma, and community in rural Missouri.
-
A.
Stray Dog
Stray Dog is a 1949 Japanese crime drama film directed by Akira Kurosawa, often regarded as an early masterpiece of film noir–influenced police procedural cinema.
-
B.
The Stray Dog
The Stray Dog is a renowned short story by Iranian writer Sadegh Hedayat that poignantly explores themes of alienation, suffering, and the human condition through the perspective of a neglected dog.
-
C.
Three Dog
Three Dog is the charismatic, freedom-fighting DJ of Galaxy News Radio in Fallout 3, known for his distinctive voice, moral commentary, and guidance to the Lone Wanderer.
-
D.
White Dog
White Dog is a crime novel in the Jack Irish series by Australian author Peter Temple, featuring the Melbourne lawyer and debt-collector embroiled in a complex investigation.
-
E.
White Dog
White Dog is a 1982 American drama-horror film directed by Samuel Fuller that explores racism through the story of a dog trained to attack Black people.
- F. None of above. chosen
Provenance (2 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.