Triple
T20268325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voicenotes |
E499025
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Attention |
—
|
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: Attention | Statement: [Voicenotes, hasTrack, Attention]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attention Context triple: [Voicenotes, hasTrack, Attention]
-
A.
Attention
"Attention" is a 2017 pop song by American singer-songwriter Charlie Puth, known for its catchy bassline, minimalist production, and themes of emotional manipulation in relationships.
-
B.
Attention
Attention is a former Sears private-label clothing brand that offered affordable, fashion-focused apparel and accessories.
-
C.
Attention
chosen
"Attention" is a track from The Weeknd’s 2016 album *Starboy*, showcasing his signature blend of moody R&B and atmospheric pop production.
-
D.
Attention
"Attention" is a popular Afrobeats-influenced song by Nigerian singer Omah Lay, known for its smooth melodies and introspective lyrics.
-
E.
Attention Attention
"Attention Attention" is a concept album by American rock band Shinedown that blends hard rock and alternative metal to explore themes of mental health, resilience, and personal transformation.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.