Triple
T10718438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Geiger |
E252747
|
entity |
| Predicate | notableWork |
P4
|
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: [Teddy Geiger, notableWork, You Ruin Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Ruin Me Context triple: [Teddy Geiger, notableWork, You Ruin Me]
-
A.
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.
-
B.
Ruin My Life
"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.
-
C.
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.
-
D.
Bad to Me
"Bad to Me" is a 1963 pop song written by John Lennon and Paul McCartney that became a hit single for Billy J. Kramer and the Dakotas.
-
E.
You Kill Me
You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, directed by John Dahl and starring Ben Kingsley and Téa Leoni.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.