Triple
T5672444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian cinema |
E125009
|
entity |
| Predicate | firstFeatureFilmRelease |
P65899
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Egyptian cinema, firstFeatureFilmRelease, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFeatureFilmRelease Context triple: [Egyptian cinema, firstFeatureFilmRelease, 1920s]
-
A.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
B.
firstFilmTitle
Indicates the title of the first film associated with a given entity.
-
C.
firstTheatricalAppearance
Indicates the event or work in which an entity made its debut theatrical appearance.
-
D.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
- F. None of above. chosen
Provenance (4 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0252e18988190a8f3aa0684c12fb8 |
completed | March 22, 2026, 5:21 p.m. |
Created at: March 22, 2026, 3:43 p.m.