Triple
T13996657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Place in Heaven |
E336714
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hurts |
E1074227
|
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: Hurts | Statement: [No Place in Heaven, hasPart, Hurts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurts Context triple: [No Place in Heaven, hasPart, Hurts]
-
A.
Hurts
chosen
"Hurts" is a pop song by British-Lebanese singer-songwriter Mika, known for its emotive lyrics and melodic, theatrical style.
-
B.
Hurts the Most
"Hurts the Most" is a track featured on the album "After the Storm."
-
C.
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.
-
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.
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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.