Triple
T20154316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Cinema |
E491513
|
entity |
| Predicate | keyFigure |
P256
|
FINISHED |
| Object | Walter Lassally |
—
|
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: Walter Lassally | Statement: [Free Cinema, keyFigure, Walter Lassally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Lassally Context triple: [Free Cinema, keyFigure, Walter Lassally]
-
A.
Walter Lassally
chosen
Walter Lassally was a renowned German-born British cinematographer celebrated for his influential work in both British New Wave cinema and international art films.
-
B.
Ernest Schaufelberg
Ernest Schaufelberg was a theatre architect best known for designing the Adelphi Theatre in London.
-
C.
Louis Butz
Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
-
D.
Paul Weigel
Paul Weigel was a German-born American character actor active in early 20th-century cinema, appearing in numerous silent and early sound films.
-
E.
Carl Arbogast
Carl Arbogast is a supporting character in the 1992 thriller film "Sneakers," involved in the high-stakes world of codebreaking and espionage.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667de9bec8190836887c86dbcf28d |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.