Triple
T32407253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoncé’s 2018 Coachella performance |
E828116
|
entity |
| Predicate | featuredSongWithSolange |
P202981
|
FINISHED |
| Object | “Get Me Bodied” (dance break) |
—
|
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: “Get Me Bodied” (dance break) | Statement: [Beyoncé’s 2018 Coachella performance, featuredSongWithSolange, “Get Me Bodied” (dance break)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredSongWithSolange Context triple: [Beyoncé’s 2018 Coachella performance, featuredSongWithSolange, “Get Me Bodied” (dance break)]
-
A.
featuresSongFrom
Indicates that one musical work includes or incorporates a song originating from another source.
-
B.
featuredSongWithJayZ
Indicates that an entity is a song on which Jay-Z appears as a featured artist.
-
C.
featuredSoul
Indicates that one entity is highlighted or prominently showcased in relation to another entity (such as a work, event, or collection).
-
D.
featuresSongAbout
Indicates that one entity includes or presents a song whose subject or content is about another entity.
-
E.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d820a7788190a8d54625cd87be68 |
completed | May 10, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_6a00d7c5b40c8190b80413238d04e81e |
completed | May 10, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_6a00d81fb5d8819096fa5e0771d69221 |
completed | May 10, 2026, 7:10 p.m. |
Created at: May 1, 2026, 12:53 a.m.