Triple
T21389878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix Kammerer |
E527614
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Edward Berger |
—
|
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: Edward Berger | Statement: [Felix Kammerer, notableCollaboration, Edward Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Berger Context triple: [Felix Kammerer, notableCollaboration, 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.
William Berger
William Berger was an Austrian-born actor best known for his prolific work in Italian genre cinema, particularly Spaghetti Westerns of the 1960s and 1970s.
-
C.
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.
-
D.
Albert Berger
Albert Berger is an American film producer known for acclaimed independent and studio films, including the Oscar-winning drama "Cold Mountain."
-
E.
Phil Berger
Phil Berger is an American Republican politician who serves as a powerful leader in the North Carolina State Senate.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f8ae288190b43df9fe2841a822 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:13 p.m.