Triple
T21562563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Larsson |
E532073
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ruin My Life |
—
|
NE NERFINISHED |
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: Ruin My Life | Statement: [Zara Larsson, notableWork, Ruin My Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruin My Life Context triple: [Zara Larsson, notableWork, Ruin My Life]
-
A.
Ruin My Life
chosen
"Ruin My Life" is a pop song by Swedish singer Zara Larsson, known for its emotive lyrics about toxic relationships and its commercial success on international charts.
-
B.
Ruin My Day
"Ruin My Day" is a song by the band Meaningless.
-
C.
You Ruin Me
"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.
-
D.
Hate My Life
"Hate My Life" is a rock song by Canadian band Theory of a Deadman, known for its darkly humorous lyrics about everyday frustrations and dissatisfaction.
-
E.
My Life in Ruins
My Life in Ruins is a 2009 romantic comedy film set in Greece that follows a disillusioned tour guide who rediscovers love and passion for life through her eccentric tour group.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e5c3348190b67003e7027efa60 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.