Triple
T22639032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Xaver Schwarz |
E558768
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schwarz |
—
|
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: Schwarz | Statement: [Franz Xaver Schwarz, familyName, Schwarz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwarz Context triple: [Franz Xaver Schwarz, familyName, Schwarz]
-
A.
Schwarz
Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
-
B.
Schwarz
chosen
Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
C.
Schwarza
Schwarza is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwaters of the Wutach.
-
D.
Schwaz
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
-
E.
Schwarze Naab
Schwarze Naab is a river in Bavaria, Germany, known as one of the main headstreams of the Naab and for flowing through the Upper Palatinate region.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.