Triple

T22271930
Position Surface form Disambiguated ID Type / Status
Subject GONZ E550498 entity
Predicate notablePlayer P304 FINISHED
Object Domantas Sabonis 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: Domantas Sabonis | Statement: [GONZ, notablePlayer, Domantas Sabonis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domantas Sabonis
Context triple: [GONZ, notablePlayer, Domantas Sabonis]
  • A. Domantas Sabonis chosen
    Domantas Sabonis is a Lithuanian professional basketball player and All-Star big man in the NBA known for his elite passing, rebounding, and interior scoring.
  • B. Cristian Ionescu
    Cristian Ionescu is a Romanian academic and writer known for his contributions to philosophy and cultural studies.
  • C. Jonas Valančiūnas
    Jonas Valančiūnas is a Lithuanian professional basketball center known for his strong interior presence in the NBA and as a key player for the Lithuanian national team.
  • D. Timofey Mozgov
    Timofey Mozgov is a Russian professional basketball center known for his NBA career and contributions to the Russian national team, including winning a bronze medal at the 2012 London Olympics.
  • E. Dennis Schröder
    Dennis Schröder is a German professional basketball point guard known for his speed, playmaking, and long NBA career with multiple teams as well as leading Germany’s national team.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea449648190bb89ca292d32f59d completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.