Triple
T5920403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe '72 |
E131684
|
entity |
| Predicate | containsTrack |
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: [Europe '72, containsTrack, It Hurts Me Too]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Hurts Me Too Context triple: [Europe '72, containsTrack, 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.
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*.
-
D.
Don’t Hurt Yourself
"Don’t Hurt Yourself" is a fierce, rock-infused R&B track by Beyoncé featuring Jack White, known for its raw vocal delivery and themes of rage and betrayal.
-
E.
1000 Hurts
1000 Hurts is a critically acclaimed 2000 noise rock album by the American band Shellac, known for its abrasive sound, minimalist production, and stark, analog aesthetic.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038019ea081908e652d74ff23f076 |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.