Triple
T27345632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Indio |
E684222
|
entity |
| Predicate | nationalCinemaContext |
P55618
|
FINISHED |
| Object | Italian cinema |
—
|
LITERAL FINISHED |
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: Italian cinema | Statement: [El Indio, nationalCinemaContext, Italian cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalCinemaContext Context triple: [El Indio, nationalCinemaContext, Italian cinema]
-
A.
nationalCinema
chosen
Indicates that a film or cinematic work is associated with, produced by, or representative of a particular nation’s cinema.
-
B.
cinemaRegion
Indicates that a cinema is located within, or associated with, a particular geographic or administrative region.
-
C.
filmStudioCountry
Indicates the country in which a film studio is based or primarily operates.
-
D.
cultFilm
Indicates that a film has acquired a dedicated, passionate fan following, often despite limited mainstream success or initial popularity.
-
E.
cinemaCategory
Indicates the classification or genre category assigned to a cinema or film.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 11:45 a.m.