Triple
T20405180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camilla |
E500448
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Camilla Läckberg |
—
|
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: Camilla Läckberg | Statement: [Camilla, hasNotableBearer, Camilla Läckberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camilla Läckberg Context triple: [Camilla, hasNotableBearer, Camilla Läckberg]
-
A.
Camilla Läckberg
chosen
Camilla Läckberg is a bestselling Swedish crime novelist known for her Fjällbacka series, which blends small-town settings with dark, psychologically driven mysteries.
-
B.
Cecilia Lindqvist
Cecilia Lindqvist was a Swedish sinologist, author, and educator best known for her popular works on Chinese language and culture.
-
C.
Johanna Söderberg
Johanna Söderberg is a Swedish singer-songwriter best known as one half of the folk duo First Aid Kit, recognized for her rich harmonies and emotive vocal style.
-
D.
Anneli Jordahl
Anneli Jordahl is a Swedish author and literary critic known for her socially engaged novels and essays, often focusing on class, gender, and cultural issues.
-
E.
Eva Moberg
Eva Moberg was a Swedish author, feminist, and social critic known for her influential writings on gender equality and social issues in the mid-20th century.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.