Triple
T21562548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara Larsson |
E532073
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Zara Maria Larsson |
—
|
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: Zara Maria Larsson | Statement: [Zara Larsson, birthName, Zara Maria Larsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zara Maria Larsson Context triple: [Zara Larsson, birthName, Zara Maria Larsson]
-
A.
Zara Larsson
chosen
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.
-
B.
Maria Larsson
Maria Larsson is a Swedish Christian Democrat politician who served as a government minister in Fredrik Reinfeldt’s second cabinet.
-
C.
Anne-Marie
Anne-Marie is an English pop singer and songwriter known for hits like "Alarm" and "2002" and for serving as a coach on The Voice UK.
-
D.
Anne-Marie
Anne-Marie is a character in the 1932 French film "Boudu Saved from Drowning," serving as part of the bourgeois household whose life is disrupted by the vagrant Boudu.
-
E.
Lykke Li
Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
- 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.