Triple
T31111979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 40,000 Years of Dreaming |
E792971
|
entity |
| Predicate | cinemaTraditionDocumented |
P162403
|
FINISHED |
| Object | Australian 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: Australian cinema | Statement: [40,000 Years of Dreaming, cinemaTraditionDocumented, Australian cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cinemaTraditionDocumented Context triple: [40,000 Years of Dreaming, cinemaTraditionDocumented, Australian cinema]
-
A.
cinemaTradition
chosen
Indicates a relationship where a particular practice, style, or custom is characteristically associated with the traditions of cinema or film culture.
-
B.
filmMedium
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
C.
cinematicForm
Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
-
D.
cinemaCategory
Indicates the classification or genre category assigned to a cinema or film.
-
E.
cinemaType
Indicates the specific category or kind of cinema associated with an entity (e.g., multiplex, art house, drive-in).
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:04 p.m.