Triple
T10734535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blues to the Bone |
E253158
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | It Hurts Me Too |
E490539
|
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: It Hurts Me Too | Statement: [Blues to the Bone, hasTrack, It Hurts Me Too]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Hurts Me Too Context triple: [Blues to the Bone, hasTrack, It Hurts Me Too]
-
A.
It Hurts Me Too
chosen
"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.
-
B.
Get Hurt
Get Hurt is a 2014 studio album by American rock band The Gaslight Anthem that explores a darker, more experimental sound than their earlier work.
-
C.
Why You Hurt Me
"Why You Hurt Me" is a song by Missy "Misdemeanor" Elliott from her influential 1997 debut album Supa Dupa Fly.
-
D.
Hurts the Most
"Hurts the Most" is a track featured on the album "After the Storm."
-
E.
I’m Not Worth the Hurt
"I’m Not Worth the Hurt" is a song by Sheena Easton featured on her 1981 album *You Could Have Been with Me*.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22bb62e481909544c87801012df3 |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.