Triple
T6787088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Sattler |
E155835
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sattler |
E155835
|
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: Sattler | Statement: [Josef Sattler, familyName, Sattler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sattler Context triple: [Josef Sattler, familyName, Sattler]
-
A.
Sattler
chosen
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
B.
Fedje
Fedje is a small island municipality off the western coast of Norway, known for its fishing heritage and scenic North Sea landscapes.
-
C.
Sautter
Sautter is a surname, likely a spelling variant of "Sutter," borne by various individuals and families of European origin.
-
D.
Sixten Sason
Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
-
E.
Lockweiler
Lockweiler is a village-level district within the town of Wadern in the Saarland region of Germany.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748a839648190a2d6875a8465579b |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:14 p.m.