Triple
T10514097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malte Grunert |
E247986
|
entity |
| Predicate | hasNotableCollaboration |
P8554
|
FINISHED |
| Object | Edward Berger |
E248619
|
NE FINISHED |
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: Edward Berger | Statement: [Malte Grunert, hasNotableCollaboration, Edward Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Berger Context triple: [Malte Grunert, hasNotableCollaboration, Edward Berger]
-
A.
Edward Berger
chosen
Edward Berger is a German film and television director known for his acclaimed work on series like "Patrick Melrose" and the Oscar-winning war drama "All Quiet on the Western Front."
-
B.
Fred Berger
Fred Berger is a film producer best known for his work on acclaimed movies such as "La La Land" and other high-profile Hollywood projects.
-
C.
Albert Berger
Albert Berger is an American film producer known for acclaimed independent and studio films, including the Oscar-winning drama "Cold Mountain."
-
D.
Michael Bergmann
Michael Bergmann is an American analytic philosopher known for his work in epistemology, particularly on skepticism, justification, and religious epistemology.
-
E.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cade0c81908fcbd54a90106bf9 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b3d6f6c81908d8247da9d9caab2 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:27 p.m.