Triple
T22433373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Will People Say |
E554551
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Anne Østerud |
—
|
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: Anne Østerud | Statement: [What Will People Say, editedBy, Anne Østerud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Østerud Context triple: [What Will People Say, editedBy, Anne Østerud]
-
A.
Anne Østerud
chosen
Anne Østerud is a film editor known for her work on the Danish crime thriller "The Absent One."
-
B.
Anne Berit Lein
Anne Berit Lein is a Norwegian politician who has served as the mayor of the municipality of Steinkjer.
-
C.
Anne Line Gjersem
Anne Line Gjersem is a Norwegian figure skater who has competed internationally, including at the Olympic Games, representing Norway in ladies' singles.
-
D.
Solveig Gulbrandsen
Solveig Gulbrandsen is a Norwegian former professional footballer and influential midfielder who became one of Norway’s most prominent women’s national team players.
-
E.
Toril Marie Øie
Toril Marie Øie is a Norwegian jurist who serves as the Chief Justice of the Supreme Court of 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adce9688190992ad0ca15883931 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.