Triple
T16329342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnieszka |
E396506
|
entity |
| Predicate | cognate |
P2527
|
FINISHED |
| Object | Agnetha |
E244925
|
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: Agnetha | Statement: [Agnieszka, cognate, Agnetha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnetha Context triple: [Agnieszka, cognate, Agnetha]
-
A.
Agnetha Fältskog
chosen
Agnetha Fältskog is a Swedish singer and songwriter best known as one of the lead vocalists of the internationally successful pop group ABBA.
-
B.
Anni-Frid Lyngstad
Anni-Frid Lyngstad is a Norwegian-Swedish singer best known as one of the two female vocalists of the iconic pop group ABBA.
-
C.
Ebba
Ebba is a Scandinavian feminine given name, particularly common in Sweden and Denmark.
-
D.
Stina Gardell
Stina Gardell is a Swedish film producer known for her work on documentaries, including the acclaimed biographical film "Ingrid Bergman: In Her Own Words."
-
E.
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.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.