Triple
T11774697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boudleaux Bryant |
E279987
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love Hurts |
E906612
|
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: Love Hurts | Statement: [Boudleaux Bryant, notableWork, Love Hurts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Hurts Context triple: [Boudleaux Bryant, notableWork, Love Hurts]
-
A.
Love Hurts
"Love Hurts" is a rock ballad by the American band Incubus, known for its emotive lyrics and melodic, radio-friendly sound.
-
B.
Love Hurts
Love Hurts is a work by Dominique Caine, best known as one of the creator’s notable pieces.
-
C.
Love Hurts
chosen
"Love Hurts" is a classic pop ballad most famously performed by the Scottish hard rock band Nazareth, known for its emotional lyrics about the pain of romantic relationships.
-
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.
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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55f415081908eec78cb2c956598 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0909969e481908d836f912b5af5bf |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.