Triple

T3617697
Position Surface form Disambiguated ID Type / Status
Subject Miro Heiskanen E76642 entity
Predicate givenName P17 FINISHED
Object Miro
Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
E373892 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 | Statement: [Miro Heiskanen, givenName, Miro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miro
Context triple: [Miro Heiskanen, givenName, Miro]
  • A. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • B. 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.
  • C. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • D. Mirik
    Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
  • E. Mitra
    Mitra is a Vedic deity associated with friendship, contracts, and the maintenance of cosmic order, prominently revered in ancient Indo-Iranian religion.
  • 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
Triple: [Miro Heiskanen, givenName, Miro]
Generated description
Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miro
Target entity description: Miro is a common Finnish given name, often used for males and sometimes derived from longer names like Miroslav.
  • A. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • B. 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.
  • C. Mechta
    Mechta is the alternative name for Luna 1, the Soviet spacecraft that became the first human-made object to reach the vicinity of the Moon and enter a heliocentric orbit.
  • D. Mirik
    Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
  • E. Mitra
    Mitra is a Vedic deity associated with friendship, contracts, and the maintenance of cosmic order, prominently revered in ancient Indo-Iranian religion.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27dd030819083d34fee0c06612a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331a82688190add137b1f68c955e completed March 13, 2026, 3:54 p.m.
NEDg Description generation batch_69b438135e8c81909c56e1c04499268b completed March 13, 2026, 4:15 p.m.
NED2 Entity disambiguation (via description) batch_69b4388a1ecc81908e1de9f8bcfc008d completed March 13, 2026, 4:17 p.m.
Created at: March 8, 2026, 3:23 p.m.