Triple
T10848124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNEK |
E256069
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Zara Larsson |
E532073
|
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: Zara Larsson | Statement: [MNEK, hasCollaboratedWith, Zara Larsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zara Larsson Context triple: [MNEK, hasCollaboratedWith, Zara 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.
Ayra Starr
Ayra Starr is a Nigerian singer and songwriter known for her Afropop and R&B hits under Mavin Records, gaining international recognition with songs like "Bloody Samaritan."
-
D.
Rita Ora
Rita Ora is a British singer, songwriter, and actress known for her hit pop songs and film roles, including her appearance in the Fifty Shades film series.
-
E.
Tove Lo
Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75114ca988190a0e730131adb2df0 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb170e714819097babb2b850342d2 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.