Triple

T2099408
Position Surface form Disambiguated ID Type / Status
Subject Imre Nagy E37058 entity
Predicate givenName P17 FINISHED
Object Imre
Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
 E252008 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: Imre | Statement: [Imre Nagy, givenName, Imre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Imre
Context triple: [Imre Nagy, givenName, Imre]
  • A. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • C. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • 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. 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: Imre
Triple: [Imre Nagy, givenName, Imre]
Generated description
Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Imre
Target entity description: Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
  • A. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • C. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • 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. 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbab9f5b88190b8a18056dc592dde completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7eee9bd88190a46e34030939a568 completed March 9, 2026, 8:03 a.m.
NEDg Description generation batch_69ae7f90d3a88190bf61c6f063b67c06 completed March 9, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_69ae800868948190a5504969c4cabb7d completed March 9, 2026, 8:08 a.m.
Created at: March 4, 2026, 7:43 p.m.