Triple

T6715496
Position Surface form Disambiguated ID Type / Status
Subject Joaquim E153256 entity
Predicate hasVariantOf P455 FINISHED
Object Joakim
Joakim is a masculine given name commonly used in Scandinavian countries, derived from the Hebrew name Joachim.
 E613294 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: Joakim | Statement: [Joaquim, hasVariantOf, Joakim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joakim
Context triple: [Joaquim, hasVariantOf, Joakim]
  • A. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • B. Daniel Nannskog
    Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
  • C. Mathias
    Mathias is a surname most notably associated with Bob Mathias, the American decathlete and two-time Olympic gold medalist.
  • D. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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: Joakim
Triple: [Joaquim, hasVariantOf, Joakim]
Generated description
Joakim is a masculine given name commonly used in Scandinavian countries, derived from the Hebrew name Joachim.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joakim
Target entity description: Joakim is a masculine given name commonly used in Scandinavian countries, derived from the Hebrew name Joachim.
  • A. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • B. Daniel Nannskog
    Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
  • C. Mathias
    Mathias is a surname most notably associated with Bob Mathias, the American decathlete and two-time Olympic gold medalist.
  • D. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1246b748190aed94e8ab8625f7e completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70096e05c8190abfa90996db37eeb completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701fa048c819091585d2bd4afe06a completed March 27, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69c7028710788190b054c7cfd28a6812 completed March 27, 2026, 10:19 p.m.
Created at: March 27, 2026, 2:07 p.m.