Triple
T22172301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Window |
E547952
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Frederic Knudtson |
—
|
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: Frederic Knudtson | Statement: [The Window, editor, Frederic Knudtson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frederic Knudtson Context triple: [The Window, editor, Frederic Knudtson]
-
A.
Frederic Knudtson
chosen
Frederic Knudtson was an American film editor known for his work on numerous Hollywood productions in the mid-20th century.
-
B.
Christian Lundeberg
Christian Lundeberg was a Swedish conservative politician who briefly served as Prime Minister of Sweden in 1905 during the dissolution of the union with Norway.
-
C.
Francis Hagerup
Francis Hagerup was a Norwegian lawyer, diplomat, and Conservative politician who served twice as Prime Minister of Norway around the turn of the 20th century.
-
D.
Sten Carl Bielke
Sten Carl Bielke was an 18th-century Swedish statesman and scientist who played a key role in advancing scientific institutions in Sweden.
-
E.
Charles Stenholm
Charles Stenholm is a former long-serving Democratic U.S. Representative from Texas known for his conservative "Blue Dog" positions and influential role on agricultural policy.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a69c12c8190a03177b5b740456a |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.