Triple
T19994350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aftermath Entertainment |
E494152
|
entity |
| Predicate | notableFormerArtist |
P64852
|
FINISHED |
| Object | Truth Hurts |
—
|
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: Truth Hurts | Statement: [Aftermath Entertainment, notableFormerArtist, Truth Hurts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truth Hurts Context triple: [Aftermath Entertainment, notableFormerArtist, Truth Hurts]
-
A.
Truth Hurts
"Truth Hurts" is a breakout hit single by American singer-rapper Lizzo that blends pop and hip-hop with empowering, self-confident lyrics.
-
B.
Truth Hurts
chosen
Truth Hurts is an American R&B singer and songwriter best known for her early-2000s hit single "Addictive."
-
C.
Bad Hurt
Bad Hurt is an independent drama film about a working-class family struggling with mental illness, disability, and the lingering effects of military service in Staten Island.
-
D.
It Hurts Me Too
"It Hurts Me Too" is a blues standard, most famously recorded by Elmore James, that has become a widely covered and influential song in the genre.
-
E.
Pretty Hurts
"Pretty Hurts" is a pop-R&B song by Beyoncé that critiques society’s obsession with physical perfection and the pressures of beauty standards.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.