Triple
T19194971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Q. Nilsson |
E469942
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anna Q. Nilsson |
—
|
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: Anna Q. Nilsson | Statement: [Anna Q. Nilsson, name, Anna Q. Nilsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Q. Nilsson Context triple: [Anna Q. Nilsson, name, Anna Q. Nilsson]
-
A.
Anna Q. Nilsson
chosen
Anna Q. Nilsson was a prominent Swedish-born American silent film actress who became one of Hollywood’s earliest female stars in the 1910s and 1920s.
-
B.
Åsa Wikforss
Åsa Wikforss is a Swedish philosopher and professor known for her work in philosophy of language and epistemology, as well as for her public engagement in debates on knowledge and democracy.
-
C.
Helena Almqvist
Helena Almqvist is a person notable for bearing the Swedish surname Almqvist.
-
D.
Marianne Lindberg
Marianne Lindberg was the wife of Prince Sigvard of Sweden, a former Swedish prince and designer who lost his royal title after marrying a commoner.
-
E.
Marianne Stenshagen
Marianne Stenshagen is a Norwegian speed skater who has competed at the international level representing Norway.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a4d6b4819083fc5dd4dab05811 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.