Triple
T12395669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got to Give It Up |
E296108
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Got to Give It Up (Part 2) |
E296108
|
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: Got to Give It Up (Part 2) | Statement: [Got to Give It Up, hasPart, Got to Give It Up (Part 2)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got to Give It Up (Part 2) Context triple: [Got to Give It Up, hasPart, Got to Give It Up (Part 2)]
-
A.
Got to Give It Up
chosen
"Got to Give It Up" is a 1977 funk and disco-influenced hit song by Marvin Gaye known for its infectious groove and party atmosphere.
-
B.
Give It Up
"Give It Up" is a hip hop track by J Dilla from his influential debut solo studio album "Welcome 2 Detroit."
-
C.
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.
-
D.
Not Gonna Give It Up
"Not Gonna Give It Up" is a reggae track by Nigerian-German singer-songwriter Nneka from her album "Mama Africa."
-
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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efa1520819093cdf6ab3025ab20 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.