Triple
T20107248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Hurts So Bad |
E490214
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | It Hurts So Bad |
—
|
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: It Hurts So Bad | Statement: [It Hurts So Bad, title, It Hurts So Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Hurts So Bad Context triple: [It Hurts So Bad, title, 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.
When It Hurts So Bad
"When It Hurts So Bad" is a soulful R&B track by Lauryn Hill that explores the pain and complexity of a toxic relationship.
-
C.
It Hurts So Good
"It Hurts So Good" is a soulful R&B song written and recorded by Prince Phillip Mitchell that became a widely covered classic in the 1970s.
-
D.
Hurts So Good
"Hurts So Good" is a hit rock song by American singer-songwriter John Mellencamp, known for its catchy chorus and blend of heartland rock and pop.
-
E.
Hurt So Bad
"Hurt So Bad" is a popular pop ballad best known for its smooth vocal harmonies and emotional delivery, widely associated with the American vocal group The Lettermen.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.