Triple
T33266773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video Phone (Extended Remix) |
E851671
|
entity |
| Predicate | hasExtendedInstrumentalSections |
P190076
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Video Phone (Extended Remix), hasExtendedInstrumentalSections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtendedInstrumentalSections Context triple: [Video Phone (Extended Remix), hasExtendedInstrumentalSections, true]
-
A.
hasMainInstrumentalElements
Indicates that one entity includes or is characterized by the primary instrumental components or parts of another entity.
-
B.
containsInstrumentalTrack
Indicates that one entity includes or features an instrumental music track as part of its content.
-
C.
hasInstrumentalPerformer
Indicates that an action, event, or work is performed or carried out by an entity serving as its instrumental performer.
-
D.
hasExtendedOutro
Indicates that an entity (such as a media work or track) features an outro section that is longer or more elaborate than is typical or standard.
-
E.
containsInterludes
Indicates that one entity (typically a work or composition) includes one or more interludes within its structure.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 1, 2026, 1:32 a.m.