Triple
T23191629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silk |
E579754
|
entity |
| Predicate | hitSingle |
P5044
|
FINISHED |
| Object | Freak Me |
—
|
NE NERFINISHED |
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 Me | Statement: [Silk, hitSingle, Freak Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freak Me Context triple: [Silk, hitSingle, Freak Me]
-
A.
Freak Me
"Freak Me" is a sensual R&B song by Ciara from her album "Beauty Marks."
-
B.
Freak Me
chosen
"Freak Me" is a 1992 R&B slow jam by the American group Silk, best known for its sensual lyrics and chart-topping success.
-
C.
Freakin' Me
"Freakin' Me" is a track by will.i.am featured on his 2007 solo album "Songs About Girls," blending pop and hip-hop influences.
-
D.
Freak Like Me
"Freak Like Me" is a hard rock song by the American band Halestorm, known for its empowering lyrics and high-energy, riff-driven sound.
-
E.
Freak Like Me
"Freak Like Me" is a 2002 hit single by British girl group Sugababes that blends R&B and electronic influences and became one of their signature songs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.