Triple
T21811413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La caza |
E538482
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | La caza |
—
|
NE NERFINISHED |
How this triple was built (2 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: La caza | Statement: [La caza, title, La caza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La caza Context triple: [La caza, title, La caza]
-
A.
La caza
chosen
La caza is a 1966 Spanish psychological drama film directed by Carlos Saura that uses a hunting trip to explore the lingering traumas and tensions of post–Civil War Spain.
-
B.
Die Jagd
Die Jagd is a pioneering 18th-century German Singspiel (comic opera) by Johann Adam Hiller that helped establish the genre in German musical theater.
-
C.
The Hunting
The Hunting is an Australian television drama series that explores the impact of teenage sexting scandals on students, families, and teachers.
-
D.
Relatos salvajes
Relatos salvajes is a darkly comic Argentine anthology film directed by Damián Szifron that interweaves several standalone stories exploring themes of revenge, violence, and social tension.
-
E.
Big Hunt
Big Hunt is a literary work by American author James Warner Bellah, known for his Western-themed fiction often centered on the U.S. Cavalry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.