Triple
T32276765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pál Nagy |
E824569
|
entity |
| Predicate | nameOrderInHungarian |
P173913
|
FINISHED |
| Object | family name first (Nagy Pál) |
—
|
LITERAL 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: family name first (Nagy Pál) | Statement: [Pál Nagy, nameOrderInHungarian, family name first (Nagy Pál)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameOrderInHungarian Context triple: [Pál Nagy, nameOrderInHungarian, family name first (Nagy Pál)]
-
A.
nameInHungarian
Indicates that one entity is the Hungarian-language name or designation of another entity.
-
B.
hasGivenNameFormInHungarian
Indicates that an entity’s given name is expressed in its specific Hungarian linguistic form.
-
C.
nameOrderInChinese
Indicates that the entities are arranged in the order that personal names are written or spoken in Chinese (family name first, given name second).
-
D.
nameOrderInVietnamese
Indicates the conventional ordering of a person's name components when written or spoken in Vietnamese.
-
E.
nameOrderInJapan
Indicates that the person’s name is written or presented in the Japanese order, with the family name appearing before the given name.
- F. None of above. chosen
Provenance (4 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc52ce48190b58a259b036c85b2 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:43 a.m.