Triple

T15099919
Position Surface form Disambiguated ID Type / Status
Subject Royal Hungarian Army E360636 entity
Predicate notableCommander P1197 FINISHED
Object Béla Miklós E815074 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: Béla Miklós | Statement: [Royal Hungarian Army, notableCommander, Béla Miklós]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béla Miklós
Context triple: [Royal Hungarian Army, notableCommander, Béla Miklós]
  • A. Béla Miklós chosen
    Béla Miklós was a Hungarian military officer and politician who served as Prime Minister of Hungary near the end of World War II and played a key role in the country’s transition away from Nazi Germany.
  • B. Miklós Lázár
    Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
  • C. Frigyes Déri
    Frigyes Déri was a Hungarian art collector and philanthropist whose extensive collection formed the basis of the Déri Museum in Debrecen.
  • 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. Gyula Halász
    Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054f00388190a5123d9f4a869b96 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3b3fc0819094daf892200bd1ac completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:04 a.m.