Triple
T15441901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romero |
E369923
|
entity |
| Predicate | publicationTypeContext |
P49765
|
FINISHED |
| Object | theatrical film |
—
|
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: theatrical film | Statement: [Romero, publicationTypeContext, theatrical film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationTypeContext Context triple: [Romero, publicationTypeContext, theatrical film]
-
A.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
B.
publicationSeriesType
Indicates the specific kind or category of series to which a publication belongs (e.g., journal series, book series, report series).
-
C.
publicationTypeOfPresenter
Indicates the type or category of publication associated with a given presenter.
-
D.
contextOfPublication
chosen
Indicates the contextual circumstances (such as venue, medium, or setting) in which a work or content is published.
-
E.
publicationAbout
Indicates that a publication has content whose subject or focus is the referenced entity.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.