Triple
T20043098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganz |
E497480
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bruno Ganz |
—
|
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: Bruno Ganz | Statement: [Ganz, hasNotableBearer, Bruno Ganz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruno Ganz Context triple: [Ganz, hasNotableBearer, Bruno Ganz]
-
A.
Bruno Ganz
chosen
Bruno Ganz was a renowned Swiss actor acclaimed for his intense and nuanced performances in European cinema, particularly in films like "Wings of Desire" and "Downfall."
-
B.
Jürgen Menzel
Jürgen Menzel is a person notable enough to be recognized as a significant bearer of the surname Menzel.
-
C.
Klaus Maria Brandauer
Klaus Maria Brandauer is an acclaimed Austrian actor and director known internationally for his intense, charismatic performances in films such as "Out of Africa" and "Mephisto."
-
D.
Klaus Menzel
Klaus Menzel is a notable individual who shares the surname Menzel, recognized enough to be specifically distinguished among bearers of the name.
-
E.
Armin Mueller-Stahl
Armin Mueller-Stahl is a German actor and former East German film star known internationally for his versatile performances in both European cinema and Hollywood films.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.