Triple
T32658806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Burnin' Up" (with Jonas Brothers) |
E834935
|
entity |
| Predicate | featuresRappedSection |
P95616
|
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: ["Burnin' Up" (with Jonas Brothers), featuresRappedSection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRappedSection Context triple: ["Burnin' Up" (with Jonas Brothers), featuresRappedSection, true]
-
A.
featuresSpokenSection
Indicates that something includes or contains a portion that is delivered or expressed through spoken words or speech.
-
B.
featuresRapperOrMC
chosen
Indicates that something (such as a track, album, or performance) includes a rapper or MC as a featured participant.
-
C.
featuresRappingStyle
Indicates that one entity (such as a song, performance, or artist’s work) includes or showcases a particular rapping style.
-
D.
featuresProducerRapper
Indicates that a producer collaborates on a track or project that features a rapper.
-
E.
featuresStringSection
Indicates that an entity includes or is associated with a specific section of text represented as a string.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a012594c27081908c80f0e0e6010290 |
completed | May 11, 2026, 12:40 a.m. |
| PD | Predicate disambiguation | batch_6a01252350548190b1df9edc9e581e91 |
completed | May 11, 2026, 12:38 a.m. |
Created at: May 1, 2026, 1:08 a.m.