Triple
T13794060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Phillip Mitchell |
E331470
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | It Hurts So Good |
E1061403
|
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 Good | Statement: [Prince Phillip Mitchell, wroteSong, It Hurts So Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It Hurts So Good Context triple: [Prince Phillip Mitchell, wroteSong, It Hurts So Good]
-
A.
It Hurts So Good
chosen
"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.
-
B.
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.
-
C.
It Hurts So Bad
"It Hurts So Bad" is a song by American singer Linda Ronstadt, featured on her 1980 album "Mad Love."
-
D.
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.
-
E.
Hurts Like Heaven
"Hurts Like Heaven" is an upbeat, synth-driven rock song by Coldplay known for its energetic tempo and vibrant, pop-influenced sound.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.