Triple
T14046455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When Legends Rise |
E337967
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Under Your Scars |
E1076075
|
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: Under Your Scars | Statement: [When Legends Rise, single, Under Your Scars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Under Your Scars Context triple: [When Legends Rise, single, Under Your Scars]
-
A.
Under Your Scars
chosen
"Under Your Scars" is a melodic rock ballad by Godsmack that showcases a more vulnerable and introspective side of the band.
-
B.
Leave a Scar
"Leave a Scar" is a song by Marilyn Manson from his 2009 industrial rock album "The High End of Low."
-
C.
Scars to Your Beautiful
"Scars to Your Beautiful" is a pop song by Alessia Cara that promotes self-acceptance and challenges conventional beauty standards.
-
D.
Scars
"Scars" is a 2004 rock ballad by Papa Roach that became one of the band’s most commercially successful and recognizable songs, noted for its emotional lyrics about pain and healing.
-
E.
Scars
"Scars" is a soulful, emotionally charged song by British singer-songwriter James Bay that reflects on vulnerability, healing, and the lingering impact of past relationships.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.