Triple

T21484471
Position Surface form Disambiguated ID Type / Status
Subject Luka Garza E530080 entity
Predicate birthName P65 FINISHED
Object Luka Garza NE NERFINISHED

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: Luka Garza | Statement: [Luka Garza, birthName, Luka Garza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luka Garza
Context triple: [Luka Garza, birthName, Luka Garza]
  • A. Luka Garza chosen
    Luka Garza is an American professional basketball player best known for his dominant collegiate career at the University of Iowa, where he became one of the most decorated players in school and Big Ten history.
  • B. Jahlil Okafor
    Jahlil Okafor is an American professional basketball center and former Duke standout who was selected third overall in the 2015 NBA Draft by the Philadelphia 76ers.
  • C. Jabari Parker
    Jabari Parker is an American professional basketball player and former top high school prospect who starred at Duke University before being selected second overall in the 2014 NBA Draft.
  • D. Jaylon Gordon
    Jaylon Gordon is an actor known for his role in the television sitcom "Zoe Ever After."
  • E. Markelle Fultz
    Markelle Fultz is an American professional basketball guard known for being a highly touted prospect whose early NBA career was disrupted by shoulder issues that affected his shooting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea365a8481909635f614b23e751f completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.