Triple

T3405281
Position Surface form Disambiguated ID Type / Status
Subject Ferenc Münnich E71756 entity
Predicate givenName P17 FINISHED
Object Ferenc
Ferenc is a Hungarian masculine given name, equivalent to Francis in English.
E378878 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: Ferenc | Statement: [Ferenc Münnich, givenName, Ferenc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferenc
Context triple: [Ferenc Münnich, givenName, Ferenc]
  • A. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • B. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • 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: Ferenc
Triple: [Ferenc Münnich, givenName, Ferenc]
Generated description
Ferenc is a Hungarian masculine given name, equivalent to Francis in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ferenc
Target entity description: Ferenc is a Hungarian masculine given name, equivalent to Francis in English.
  • A. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • B. Miklós
    Miklós is a Hungarian masculine given name, equivalent to Nicholas in English.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8eaa41c819095a4d51aec074649 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c36c12008190b21c47091a4e2ca6 completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c4215ba481908d9d8eeb24ea298b completed March 14, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69b4c494ad80819084d6aa10fe62a63b completed March 14, 2026, 2:14 a.m.
Created at: March 8, 2026, 3:15 p.m.