Triple
T14854420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give It 2 Me music video |
E349314
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Give It 2 Me |
E1057462
|
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 2 Me | Statement: [Give It 2 Me music video, basedOn, Give It 2 Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Give It 2 Me Context triple: [Give It 2 Me music video, basedOn, Give It 2 Me]
-
A.
Give It 2 Me
chosen
"Give It 2 Me" is an uptempo dance-pop song by Madonna, released as a single from her 2008 album Hard Candy.
-
B.
Give It to Me
"Give It to Me" is a 2007 electro-pop/hip hop single by Timbaland featuring Nelly Furtado and Justin Timberlake, known for its club-ready beat and perceived lyrical jabs at other artists.
-
C.
Give It 2 You
"Give It 2 You" is a 1994 hip hop single by American rapper Da Brat from her debut album "Funkdafied."
-
D.
Give It To Me
"Give It To Me" is a popular Afrobeat song by Nigerian artist D'Prince, known for its catchy rhythm and club-friendly vibe.
-
E.
Give It
"Give It" is a song by the American alternative metal band Helmet, known for its heavy, riff-driven sound and precise, rhythmic intensity.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4ce76881909bf4a967da9357ae |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.