Triple

T5956101
Position Surface form Disambiguated ID Type / Status
Subject Polányi Mihály E132518 entity
Predicate givenName P17 FINISHED
Object Mihály
Mihály is a Hungarian given name commonly used as the equivalent of Michael in English.
 E575909 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: Mihály | Statement: [Polányi Mihály, givenName, Mihály]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mihály
Context triple: [Polányi Mihály, givenName, Mihály]
  • A. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • B. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • C. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • D. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • E. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • 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: Mihály
Triple: [Polányi Mihály, givenName, Mihály]
Generated description
Mihály is a Hungarian given name commonly used as the equivalent of Michael in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mihály
Target entity description: Mihály is a Hungarian given name commonly used as the equivalent of Michael in English.
  • A. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • B. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • C. Gábor
    Gábor is a Hungarian masculine given name, commonly used as the local form of Gabriel.
  • D. István
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • E. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e909f9c8190a78254d81437f404 completed March 23, 2026, 4:47 p.m.
NEDg Description generation batch_69c1c5f6eb588190802e48624de609ec completed March 23, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c1c6d0f3c0819098f9a5d8afb43eb1 completed March 23, 2026, 11:03 p.m.
Created at: March 22, 2026, 4:02 p.m.