Triple
T5053462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romance Dance |
E113841
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | It Hurts So Bad |
E490214
|
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 So Bad | Statement: [Romance Dance, hasPart, It Hurts So Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Hurts So Bad Context triple: [Romance Dance, hasPart, It Hurts So Bad]
-
A.
It Hurts So Bad
chosen
"It Hurts So Bad" is a song by American singer Linda Ronstadt, featured on her 1980 album "Mad Love."
-
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.
Hurt
"Hurt" is a haunting, introspective song famously covered by Johnny Cash, whose stark performance and accompanying video poignantly reflect on pain, regret, and mortality.
-
D.
Hurt
"Hurt" is a powerful emotional ballad by Christina Aguilera, known for its dramatic vocals and themes of regret and loss.
-
E.
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.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0fd25c081909ddf2d8eb77f33e7 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.