Triple
T15777466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 2012 |
E382525
|
entity |
| Predicate | winner |
P354
|
FINISHED |
| Object | Loreen |
E1062073
|
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: Loreen | Statement: [Eurovision Song Contest 2012, winner, Loreen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loreen Context triple: [Eurovision Song Contest 2012, winner, Loreen]
-
A.
Loreen
chosen
Loreen is a Swedish singer and songwriter best known for winning the Eurovision Song Contest twice, with "Euphoria" (2012) and "Tattoo" (2023).
-
B.
Måns Zelmerlöw
Måns Zelmerlöw is a Swedish pop singer, television presenter, and Eurovision Song Contest 2015 winner known for his hit song "Heroes."
-
C.
Petra Marklund
Petra Marklund is a Swedish singer and television presenter best known internationally under her stage name September.
-
D.
Anette Qviberg
Anette Qviberg is a Swedish interior designer and fashion stylist best known for her long-term marriage to actor and martial artist Dolph Lundgren.
-
E.
Zara Larsson
Zara Larsson is a Swedish pop singer and songwriter known internationally for hits like "Lush Life," "Never Forget You," and her powerful, radio-friendly vocals.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909d7b7c81908b62faa2ab378fad |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:47 a.m.