Triple
T16569524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shock Value |
E402548
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Give It to Me |
E426432
|
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 to Me | Statement: [Shock Value, hasPart, Give It to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Give It to Me Context triple: [Shock Value, hasPart, Give It to Me]
-
A.
Give It to Me
chosen
"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.
-
B.
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.
-
C.
Give It 2 Me
"Give It 2 Me" is an uptempo dance-pop song by Madonna, released as a single from her 2008 album Hard Candy.
-
D.
Give It All to Me
"Give It All to Me" is a hip hop track by DJ Khaled featuring Nicki Minaj and Lil Wayne, known for its catchy hook and high-profile collaborations.
-
E.
Give It All to Me
"Give It All to Me" is a dancehall single by Jamaican artist Mavado, best known for its catchy hook and collaboration with Nicki Minaj.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee616a0819089b3cdc1da951735 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.