Triple
T6844978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie Davis |
E157870
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Like It Loud |
E622878
|
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: Like It Loud | Statement: [Cassie Davis, notableSingle, Like It Loud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like It Loud Context triple: [Cassie Davis, notableSingle, Like It Loud]
-
A.
Like It Loud
chosen
"Like It Loud" is a pop-rock song by Australian singer Cassie Davis that gained popularity in the late 2000s for its energetic, radio-friendly sound.
-
B.
Like It Is
"Like It Is" is a track by American rapper Vince Staples that showcases his introspective lyrics and distinctive West Coast-influenced sound.
-
C.
I Like It
"I Like It" is a 2018 Latin trap and hip-hop single by Cardi B featuring Bad Bunny and J Balvin, known for its sample of Pete Rodriguez’s "I Like It Like That" and its global chart-topping success.
-
D.
I Like It, I Love It
"I Like It, I Love It" is a popular 1995 country song by American singer Tim McGraw that became one of his signature hits.
-
E.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b8627081908e34d2b942d08aef |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74271b9dc8190abbe3b1f9819c38f |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:19 p.m.