Triple
T23022136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | László Teleki |
E573195
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Teleki |
—
|
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: Teleki | Statement: [László Teleki, memberOf, Teleki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teleki Context triple: [László Teleki, memberOf, Teleki]
-
A.
Teleki
chosen
Teleki is a Hungarian noble family name most notably associated with Pál Teleki, a geographer and two-time prime minister of Hungary in the early 20th century.
-
B.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
C.
Vilmos
Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
-
D.
Tivadar
Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
-
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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183ea23088190b2f42d9bf01514ac |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.