Triple
T16293436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Włodzimierz Steyer |
E395583
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Steyer |
E395583
|
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: Steyer | Statement: [Włodzimierz Steyer, familyName, Steyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steyer Context triple: [Włodzimierz Steyer, familyName, Steyer]
-
A.
Steyer
chosen
Steyer is a Polish surname most notably borne by Włodzimierz Steyer, a Polish naval officer and admiral.
-
B.
Steyr
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
-
C.
Ruhrstahl
Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
-
D.
Stihler
Stihler is a surname most notably associated with Scottish politician and former Member of the European Parliament Catherine Stihler.
-
E.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2aee6881909fd28547f135427c |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9965b8819080278ccef15288aa |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.