Triple

T10824321
Position Surface form Disambiguated ID Type / Status
Subject Tapio E255454 entity
Predicate isGivenNameOf P17 FINISHED
Object Tapio Suominen
Tapio Suominen is a Finnish television sports journalist and presenter known for his work on national broadcasts.
E931633 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: Tapio Suominen | Statement: [Tapio, isGivenNameOf, Tapio Suominen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapio Suominen
Context triple: [Tapio, isGivenNameOf, Tapio Suominen]
  • A. Tapio Laukkanen
    Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
  • B. Tapio Kangasniemi
    Tapio Kangasniemi is a person whose given name is Tapio, likely of Finnish origin.
  • C. Tapio Pulkkanen
    Tapio Pulkkanen is a Finnish professional golfer known for competing on the European Tour.
  • D. Tapio Kantanen
    Tapio Kantanen is a Finnish former steeplechase runner who won a bronze medal in the 3000 m steeplechase at the 1972 Munich Olympics.
  • E. Tapio Lehtinen
    Tapio Lehtinen is a Finnish sailor best known for competing in events such as the Golden Globe Race and for his long career in offshore and ocean racing.
  • 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: Tapio Suominen
Triple: [Tapio, isGivenNameOf, Tapio Suominen]
Generated description
Tapio Suominen is a Finnish television sports journalist and presenter known for his work on national broadcasts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tapio Suominen
Target entity description: Tapio Suominen is a Finnish television sports journalist and presenter known for his work on national broadcasts.
  • A. Tapio Laukkanen
    Tapio Laukkanen is a Finnish former rally driver who competed in national and international events during the 1990s and early 2000s.
  • B. Tapio Kangasniemi
    Tapio Kangasniemi is a person whose given name is Tapio, likely of Finnish origin.
  • C. Tapio Pulkkanen
    Tapio Pulkkanen is a Finnish professional golfer known for competing on the European Tour.
  • D. Tapio Kantanen
    Tapio Kantanen is a Finnish former steeplechase runner who won a bronze medal in the 3000 m steeplechase at the 1972 Munich Olympics.
  • E. Tapio Lehtinen
    Tapio Lehtinen is a Finnish sailor best known for competing in events such as the Golden Globe Race and for his long career in offshore and ocean racing.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734cf7918819094d36ea208c80d12 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
NEDg Description generation batch_69e68ce8d7988190a0dd3abe5f2afc97 completed April 20, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:19 p.m.