Triple
T2152888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIFF Cinema Uptown |
E47819
|
entity |
| Predicate | languageOfPrimaryProgramming |
P36279
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [SIFF Cinema Uptown, languageOfPrimaryProgramming, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPrimaryProgramming Context triple: [SIFF Cinema Uptown, languageOfPrimaryProgramming, English]
-
A.
languageOfProgramming
Indicates that one entity is a programming language used to implement, develop, or script the other entity.
-
B.
programmingLanguage
Indicates that one entity is a programming language used to create, control, or interact with the other entity.
-
C.
previousPrimaryScriptingLanguage
Indicates that an entity was formerly the main or primary scripting language used by another entity before being replaced or superseded.
-
D.
developedPrimarilyIn
Indicates that something was mainly created, advanced, or brought into its primary form within a particular context, place, or domain, even if contributions occurred elsewhere.
-
E.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4a3b608190b3bd5d8e28534090 |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.