Triple
T16438536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Dance |
E399236
|
entity |
| Predicate | hasMainSectionStyle |
P122785
|
FINISHED |
| Object | up-tempo disco |
—
|
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: up-tempo disco | Statement: [Last Dance, hasMainSectionStyle, up-tempo disco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSectionStyle Context triple: [Last Dance, hasMainSectionStyle, up-tempo disco]
-
A.
hasMainBody
Indicates that one entity serves as the primary physical or structural body of another entity.
-
B.
hasSectionColor
Indicates that an entity possesses a section (or part) characterized by a specific color.
-
C.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
D.
hasCentralSection
Indicates that an entity possesses a distinct middle or central part within its overall structure or composition.
-
E.
hasSectionWith
Indicates that an entity contains or includes a specific section that satisfies certain conditions or characteristics.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.