Triple
T1761102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pál Maléter |
E38659
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maléter
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
|
E199547
|
NE FINISHED |
How this triple was built (4 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: Maléter | Statement: [Pál Maléter, familyName, Maléter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maléter Context triple: [Pál Maléter, familyName, Maléter]
-
A.
Malé
Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
-
B.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
C.
Malthace
Malthace was a wife of Herod the Great and the mother of several of his children, including Herod Antipas, placing her within the Herodian royal family of Judea.
-
D.
Malakula
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maléter Triple: [Pál Maléter, familyName, Maléter]
Generated description
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maléter Target entity description: Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
-
A.
Malé
Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
-
B.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
C.
Malthace
Malthace was a wife of Herod the Great and the mother of several of his children, including Herod Antipas, placing her within the Herodian royal family of Judea.
-
D.
Malakula
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
-
E.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69adae9845f081908904030f7a10df63 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adafa3494c8190b34a6930cf38ca40 |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 4, 2026, 7:31 p.m.