Triple

T11400826
Position Surface form Disambiguated ID Type / Status
Subject Wilfred the Hairy E270102 entity
Predicate child P120 FINISHED
Object Miro the Young
Miro the Young was a medieval Catalan nobleman and count, known as the son and successor of Wilfred the Hairy in parts of the Catalan counties.
 E923734 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: Miro the Young | Statement: [Wilfred the Hairy, child, Miro the Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miro the Young
Context triple: [Wilfred the Hairy, child, Miro the Young]
  • A. Miki
    Miki is a city located in Japan’s Kagawa Prefecture on the island of Shikoku.
  • B. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • C. Miro
    Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
  • D. Miran
    Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
  • E. Dorerin Naoero
    Dorerin Naoero is the endonym for the Nauruan language spoken on the Pacific island nation of Nauru.
  • 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: Miro the Young
Triple: [Wilfred the Hairy, child, Miro the Young]
Generated description
Miro the Young was a medieval Catalan nobleman and count, known as the son and successor of Wilfred the Hairy in parts of the Catalan counties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miro the Young
Target entity description: Miro the Young was a medieval Catalan nobleman and count, known as the son and successor of Wilfred the Hairy in parts of the Catalan counties.
  • A. Miki
    Miki is a city located in Japan’s Kagawa Prefecture on the island of Shikoku.
  • B. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • C. Miro
    Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
  • D. Miran
    Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
  • E. Dorerin Naoero
    Dorerin Naoero is the endonym for the Nauruan language spoken on the Pacific island nation of Nauru.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cf75ec08190a571e5178bcde274 completed April 20, 2026, 2:18 a.m.
NEDg Description generation batch_69e59777b1208190a33a50da286535ee completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3cf9d388190944340af484b3a54 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.