Triple

T10018155
Position Surface form Disambiguated ID Type / Status
Subject Maléter E199547 entity
Predicate hasNotableBearer P458 FINISHED
Object Pál Maléter E38659 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 Maléter | Statement: [Maléter, hasNotableBearer, Pál Maléter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pál Maléter
Context triple: [Maléter, hasNotableBearer, Pál Maléter]
  • A. Pál Maléter chosen
    Pál Maléter was a Hungarian military officer and defense minister who became a leading revolutionary commander during the 1956 uprising against Soviet control and was later executed for his role.
  • B. Miklós Lázár
    Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
  • C. Sándor Garbai
    Sándor Garbai was a Hungarian socialist politician who briefly served as the nominal leader of the short-lived Hungarian Soviet Republic in 1919.
  • D. András Hámori
    András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
  • E. Ferenc Madl
    Ferenc Mádl was a Hungarian legal scholar and politician who served as President of Hungary from 2000 to 2005.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c3fa4b88190be4ce7b64335a99f completed April 9, 2026, 3:25 a.m.
Created at: March 30, 2026, 8:53 p.m.