Triple
T27046965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saidi Swing (reprise) |
E684663
|
entity |
| Predicate | developsThemesFrom |
P61406
|
FINISHED |
| Object | Saidi Swing |
—
|
NE NERFINISHED |
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: Saidi Swing | Statement: [Saidi Swing (reprise), developsThemesFrom, Saidi Swing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsThemesFrom Context triple: [Saidi Swing (reprise), developsThemesFrom, Saidi Swing]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
featuresThemeBy
Indicates that something (such as a work, event, or product) prominently includes or centers around a particular theme created or defined by a specified source or entity.
-
C.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
-
D.
themeInspiration
chosen
Indicates that one entity serves as the creative source or conceptual basis that inspires or shapes the theme expressed in another entity.
-
E.
canDesignTheme
Indicates that an entity has the capability or permission to create or customize a visual or stylistic theme for another entity or system.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 8:11 a.m.