Triple
T22094091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABBA: The Movie |
E545979
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Anni-Frid Lyngstad |
—
|
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: Anni-Frid Lyngstad | Statement: [ABBA: The Movie, starring, Anni-Frid Lyngstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anni-Frid Lyngstad Context triple: [ABBA: The Movie, starring, Anni-Frid Lyngstad]
-
A.
Anni-Frid Lyngstad
chosen
Anni-Frid Lyngstad is a Norwegian-Swedish singer best known as one of the two female vocalists of the iconic pop group ABBA.
-
B.
Agnetha Fältskog
Agnetha Fältskog is a Swedish singer and songwriter best known as one of the lead vocalists of the internationally successful pop group ABBA.
-
C.
Karin Boye
Karin Boye was a prominent 20th-century Swedish poet and novelist, best known for her lyrical poetry and the dystopian novel "Kallocain."
-
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.
Ane Brun
Ane Brun is a Norwegian singer-songwriter known for her introspective folk-pop music and distinctive, emotive vocal style.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.