Triple
T5783295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Veronicas |
E128210
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | You Ruin Me |
E546799
|
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: You Ruin Me | Statement: [The Veronicas, single, You Ruin Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Ruin Me Context triple: [The Veronicas, single, You Ruin Me]
-
A.
You Ruin Me
chosen
"You Ruin Me" is a piano-driven pop ballad by Australian duo The Veronicas, known for its raw, emotional vocals and themes of heartbreak and betrayal.
-
B.
Destroy Me
"Destroy Me" is a pop single by American singer Rebecca Black that showcases her evolution from viral teen sensation to more mature recording artist.
-
C.
You Lost Me
"You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
-
D.
Worst in Me
"Worst in Me" is a pop song by American singer-songwriter Julia Michaels that showcases her confessional lyrics and emotionally charged style.
-
E.
It's Bad for Me
"It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a17276648190b1fedfcc69d46b59 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:50 p.m.