Triple

T9601076
Position Surface form Disambiguated ID Type / Status
Subject Joakim Noah E231851 entity
Predicate givenName P17 FINISHED
Object Joakim E613294 NE FINISHED

How this triple was built (2 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: [Joakim Noah, givenName, Joakim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joakim
Context triple: [Joakim Noah, givenName, Joakim]
  • A. Joakim chosen
    Joakim is a masculine given name commonly used in Scandinavian countries, derived from the Hebrew name Joachim.
  • B. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • C. 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.
  • D. Aron Johansson
    Aron Johansson was a Swedish architect best known for designing Sweden’s Parliament House in Stockholm.
  • E. Mathias
    Mathias is a surname most notably associated with Bob Mathias, the American decathlete and two-time Olympic gold medalist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3a49608190ad1f65195e4d5cda completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161a993c48190974bc787fafbe793 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.