Triple
T10244905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formation World Tour |
E240186
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Hold Up |
E245925
|
NE 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: Hold Up | Statement: [Formation World Tour, featuresSong, Hold Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Up Context triple: [Formation World Tour, featuresSong, Hold Up]
-
A.
Hold Up
chosen
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
B.
Hands Up
"Hands Up" is a politically charged hip-hop track by Vince Staples that critiques police brutality and systemic racism.
-
C.
Lit Up
"Lit Up" is a song by the American rock band Alligator.
-
D.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
E.
Get Up
Get Up is a morning sports talk and analysis show on ESPN featuring discussions, highlights, and commentary on major sports stories and events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f79c20e08190928d061b3d4b4e47 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.