Triple
T23008868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Simonyi |
E572851
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Simonyi |
—
|
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: Simonyi | Statement: [Charles Simonyi, hasSurname, Simonyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simonyi Context triple: [Charles Simonyi, hasSurname, Simonyi]
-
A.
Simonyi
chosen
Simonyi is a Hungarian surname most prominently associated with Charles Simonyi, a software architect and early Microsoft pioneer known for his work on Microsoft Office and for being a space tourist.
-
B.
Sarközy de Nagy-Bocsa
Sarközy de Nagy-Bocsa is the Hungarian-origin aristocratic family name of former French president Nicolas Sarkozy.
-
C.
Várkonyi
Várkonyi is a Hungarian surname most notably borne by the early 20th-century film and stage actor Victor Varconi.
-
D.
Bulcsú
Bulcsú was a prominent 10th-century Hungarian chieftain and military leader known for his role in the Magyar raids into Western Europe.
-
E.
Alvinczi
Alvinczi is the surname of Josef Alvinczi, an 18th-century Austrian field marshal of Hungarian origin who served in the Habsburg military during the French Revolutionary Wars.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835919b08190ba78e182b87358d4 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.