Triple
T1761101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pál Maléter |
E38659
|
entity |
| Predicate | givenName |
P17
|
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: [Pál Maléter, givenName, Pál]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pál Context triple: [Pál Maléter, givenName, 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.
Kálmán
Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
-
E.
Gábor
Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64410b58819098be7dc5da23d7af |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada98eb0348190a44e05393a2c6eff |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.