Triple
T22537997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sári Gábor |
E557206
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sári |
—
|
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: Sári | Statement: [Sári Gábor, givenName, Sári]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sári Context triple: [Sári Gábor, givenName, Sári]
-
A.
Sári
chosen
Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
-
B.
Sanyi
Sanyi is a common Hungarian diminutive form of the male given name Sándor, equivalent to Alexander.
-
C.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
D.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
E.
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.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f2f671c8190b7a7d9b6d0d64a9b |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.