Triple
T22166912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunrise |
E547813
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Carl Mayer |
—
|
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: Carl Mayer | Statement: [Sunrise, screenwriter, Carl Mayer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Mayer Context triple: [Sunrise, screenwriter, Carl Mayer]
-
A.
Carl Mayer
chosen
Carl Mayer was an influential Austrian screenwriter best known for his work on seminal German Expressionist and early silent films of the 1920s and 1930s.
-
B.
Daniel Mayer
Daniel Mayer was a French socialist politician and member of the Resistance who later became a prominent leader in postwar French politics and human rights advocacy.
-
C.
Matthias Mayer
Matthias Mayer is an Austrian alpine ski racer and multiple Olympic champion known for his success in downhill and super-G events.
-
D.
Klaus Mayer
Klaus Mayer is a German football executive best known for serving as the chairman of 1. FC Heidenheim.
-
E.
Carl Gottlieb
Carl Gottlieb is an American screenwriter, actor, and director best known for co-writing the blockbuster film "Jaws" and its sequels.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.