Triple
T21952003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Candidate |
E542091
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Walter Coblenz |
—
|
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: Walter Coblenz | Statement: [The Candidate, producer, Walter Coblenz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Coblenz Context triple: [The Candidate, producer, Walter Coblenz]
-
A.
Walter Coblenz
chosen
Walter Coblenz was an American film producer best known for his work on the acclaimed political thriller "All the President’s Men."
-
B.
Walter Trarbach
Walter Trarbach is a theatrical sound designer known for his work on major Broadway productions, including SpongeBob SquarePants: The Broadway Musical.
-
C.
Paul Güssfeldt
Paul Güssfeldt was a German geologist and pioneering mountaineer known for his early ascents and exploration in the Alps and other mountain ranges.
-
D.
Walter Steffens
Walter Steffens was a German naval officer after whom the Flottenschule "Walter Steffens" (a fleet training school) was named.
-
E.
Walter Wolfrum
Walter Wolfrum was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.