Triple
T7729775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Czarniecki |
E175220
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stefan |
E477080
|
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: Stefan | Statement: [Stefan Czarniecki, givenName, Stefan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Context triple: [Stefan Czarniecki, givenName, Stefan]
-
A.
Stefan
Stefan is the given name of Saint Simeon the Myrrh-streaming, a revered medieval Serbian ruler and Orthodox Christian saint.
-
B.
Stefan
chosen
Stefan is a masculine given name of Slavic origin, commonly used in many European countries as a variant of Stephen.
-
C.
Stefan Rafael Benjamin
Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
-
D.
Stefan Gregory
Stefan Gregory is a composer best known for his film score work, including the music for the historical drama "The Dig."
-
E.
Stefan Zumtaugwald
Stefan Zumtaugwald was a 19th-century Swiss mountaineer known for participating in the first ascent of the Alpine peak Liskamm.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703170650819095a1b073d67d231d |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52adf6481908cb78e7cc7c4266d |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.