Triple

T3809150
Position Surface form Disambiguated ID Type / Status
Subject Mici Mária Harkányi E93087 entity
Predicate givenName P17 FINISHED
Object Mici
Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
E390414 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: Mici | Statement: [Mici Mária Harkányi, givenName, Mici]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mici
Context triple: [Mici Mária Harkányi, givenName, Mici]
  • A. Michu
    Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
  • B. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • E. Moli
    Moli is a settlement located on Choiseul Island in the Solomon Islands.
  • 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: Mici
Triple: [Mici Mária Harkányi, givenName, Mici]
Generated description
Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mici
Target entity description: Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
  • A. Michu
    Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
  • B. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • E. Moli
    Moli is a settlement located on Choiseul Island in the Solomon Islands.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80c7fc48190b5c2400918bba5c2 completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb33db9c81908b462ee80aaaad34 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fc08d65081908953482b10fa5611 completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc7d8cf081909c4447818b5363c5 completed March 14, 2026, 6:13 a.m.
Created at: March 9, 2026, 3:16 p.m.