Triple
T3566823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Zehrfuss |
E75469
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bernard Zehrfuss |
E75469
|
NE FINISHED |
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: Bernard Zehrfuss | Statement: [Bernard Zehrfuss, name, Bernard Zehrfuss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Zehrfuss Context triple: [Bernard Zehrfuss, name, Bernard Zehrfuss]
-
A.
Bernard Zehrfuss
chosen
Bernard Zehrfuss was a prominent 20th-century French architect known for his modernist public and institutional buildings.
-
B.
Marcel Zyskind
Marcel Zyskind is a Danish cinematographer known for his visually distinctive work on independent and art-house films.
-
C.
Jean-Marie Pfaff
Jean-Marie Pfaff is a former Belgian football goalkeeper widely regarded as one of the best of his generation, known for his performances for Belgium’s national team and Bayern Munich.
-
D.
Bernard Weber
Bernard Weber is a Swiss-born filmmaker and entrepreneur best known for founding the New7Wonders campaigns that organized global votes to select new world wonders.
-
E.
Henri Zuber
Henri Zuber was a 19th-century French painter and watercolorist known for his landscapes and Orientalist scenes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0aa0fcc8190bc99df68d2bd9139 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb01d108190bd098c86b0180b78 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.