Triple
T16556375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive-Thru Booty |
E402213
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Freak Power |
E85896
|
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: Freak Power | Statement: [Drive-Thru Booty, producer, Freak Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freak Power Context triple: [Drive-Thru Booty, producer, Freak Power]
-
A.
Freak Power
chosen
Freak Power was a 1990s British band that blended acid jazz, funk, and soul, best known for their hit single "Turn On, Tune In, Cop Out."
-
B.
Freak
"Freak" is a track from Cam'ron's 2002 hip-hop album "Come Home with Me," known for its explicit lyrics and club-oriented production.
-
C.
We Can Freak It
"We Can Freak It" is a 1998 West Coast hip hop single by rapper Kurupt, known for its smooth G-funk production and laid-back party vibe.
-
D.
Freak Me
"Freak Me" is a sensual R&B song by Ciara from her album "Beauty Marks."
-
E.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
- 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_69e34fc99f648190b40869ce52d351c8 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c794355881908fdec356d12a5635 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:15 a.m.