Triple
T21313608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Ebert |
E525406
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carl Ebert |
—
|
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 Ebert | Statement: [Carl Ebert, name, Carl Ebert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Ebert Context triple: [Carl Ebert, name, Carl Ebert]
-
A.
Carl Ebert
chosen
Carl Ebert was a prominent German-born opera and theatre director and actor, noted for his influential work in European opera and his role in shaping the postwar Glyndebourne Festival.
-
B.
Carl Braun
Carl Braun was a prominent American professional basketball player of the 1940s and 1950s, best known as a star guard for the New York Knicks and later a Hall of Famer.
-
C.
Karl Eberding
Karl Eberding was a German military commander during World War II, known for leading German forces in the defense of Walcheren in 1944.
-
D.
Walter Scheib
Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
-
E.
Walt Dohrn
Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcc6350819093763632b7e6e4ac |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:27 p.m.