Triple
T15452237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Trauma |
E371680
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Hurts 2B Human |
E371681
|
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 2B Human | Statement: [Beautiful Trauma, followedBy, Hurts 2B Human]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurts 2B Human Context triple: [Beautiful Trauma, followedBy, Hurts 2B Human]
-
A.
Hurts 2B Human
chosen
Hurts 2B Human is a pop-oriented studio album by American singer-songwriter Pink that blends emotional ballads with upbeat anthems and high-profile collaborations.
-
B.
Hurts
"Hurts" is a pop song by British-Lebanese singer-songwriter Mika, known for its emotive lyrics and melodic, theatrical style.
-
C.
Hurts the Most
"Hurts the Most" is a track featured on the album "After the Storm."
-
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.
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.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cfbae7881909602b187e5219a35 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:30 a.m.