Triple
T16878813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muse Sick-n-Hour Mess Age |
E421363
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Give It Up |
E1238795
|
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: Give It Up | Statement: [Muse Sick-n-Hour Mess Age, notableSingle, Give It Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Give It Up Context triple: [Muse Sick-n-Hour Mess Age, notableSingle, Give It Up]
-
A.
Give It Up
"Give It Up" is a blues-rock song by the American rock band ZZ Top, featured on their 1990 album "Recycler."
-
B.
Give It Up
chosen
"Give It Up" is a track by the pioneering hip hop group Public Enemy from their 1994 album "Muse Sick-n-Hour Mess Age."
-
C.
Give It Up
"Give It Up" is a hip hop track by J Dilla from his influential debut solo studio album "Welcome 2 Detroit."
-
D.
Give It Up
Give It Up is an R&B song produced by Keith Crouch, known for its smooth, soulful sound and polished contemporary production.
-
E.
Give It Up (song)
"Give It Up" is a song by British songwriter and producer Jimmy Napes, known for his work in contemporary pop and R&B music.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f9aea0819090aef3c0c1ad349d |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a451708190897bb3332c1e7457 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.