Triple
T1084874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pol |
E24026
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Pál |
E24427
|
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: Pál | Statement: [Pol, hasCognate, Pál]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pál Context triple: [Pol, hasCognate, Pál]
-
A.
Pál
chosen
Pál is a Hungarian given name, equivalent to the English name Paul.
-
B.
István
István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
-
C.
Alfréd
Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
-
D.
Gábor
Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
-
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 (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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b961d0cc8190858296b44fab2f32 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f2b76308190a843ccad1ef95f07 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:42 p.m.