Triple
T14854224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. (film) |
E349310
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Moritz Borman |
—
|
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: Moritz Borman | Statement: [W. (film), producer, Moritz Borman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moritz Borman Context triple: [W. (film), producer, Moritz Borman]
-
A.
Moritz Borman
chosen
Moritz Borman is a film producer known for working on major Hollywood productions, including the science fiction action film "Terminator Salvation."
-
B.
Emelian Dreitzer
Emelian Dreitzer was a Soviet political figure known for being one of the defendants in the 1922 "Trial of the Sixteen," a prominent early Bolshevik show trial.
-
C.
Gustav Bauer
Gustav Bauer was a German Social Democratic politician who served as Chancellor during the early Weimar Republic.
-
D.
Karl Grobben
Karl Grobben was an Austrian zoologist known for his influential work in animal classification, including helping to establish major groups such as the Deuterostomia.
-
E.
Carl Meissner
Carl Meissner was a 19th-century Swiss botanist known for his extensive taxonomic work on various plant families and genera.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
Created at: April 10, 2026, 1:54 a.m.