Triple
T15435276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Zehrfuss |
E369743
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zehrfuss |
E369743
|
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: Zehrfuss | Statement: [Bernard Zehrfuss, familyName, Zehrfuss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zehrfuss Context triple: [Bernard Zehrfuss, familyName, Zehrfuss]
-
A.
Zehrfuss
chosen
Zehrfuss is the surname of Bernard Zehrfuss, a prominent 20th-century French modernist architect known for major public and institutional buildings.
-
B.
Zweigelt
Zweigelt is Austria’s most widely planted red wine grape, known for producing fruit-forward, medium-bodied wines with soft tannins and vibrant cherry flavors.
-
C.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
D.
Feldzieg
Feldzieg is a fast-talking Broadway producer character in the musical comedy "The Drowsy Chaperone," often entangled in the show's backstage hijinks and romantic mix-ups.
-
E.
Hornschuch
Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a5e55c81909801db54032589ac |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.