Triple
T20158283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galerie Buchholz |
E491635
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Daniel Buchholz |
—
|
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: Daniel Buchholz | Statement: [Galerie Buchholz, namedAfter, Daniel Buchholz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Buchholz Context triple: [Galerie Buchholz, namedAfter, Daniel Buchholz]
-
A.
Daniel Buchholz
chosen
Daniel Buchholz is a German art dealer and gallerist best known as the founder of the influential contemporary art space Galerie Buchholz.
-
B.
John Daheim
John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
-
C.
Michael Bostick
Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
-
D.
Dan Pfeiffer
Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
-
E.
Dan Harkins
Dan Harkins is a computer security researcher and cryptographer known for designing and contributing to widely used key exchange and authentication protocols.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.