Triple

T22744938
Position Surface form Disambiguated ID Type / Status
Subject Quin Snyder E562521 entity
Predicate coached P2169 FINISHED
Object Rudy Gobert 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: Rudy Gobert | Statement: [Quin Snyder, coached, Rudy Gobert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudy Gobert
Context triple: [Quin Snyder, coached, Rudy Gobert]
  • A. Rudy Gobert chosen
    Rudy Gobert is a French professional basketball center, renowned as a multiple-time NBA Defensive Player of the Year and All-Star.
  • B. Mohamed Bamba
    Mohamed Bamba is the person after whom the viral 2017 hip-hop song "Mo Bamba" by rapper Sheck Wes is named.
  • C. 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.
  • D. Nando De Colo
    Nando De Colo is a French professional basketball player and prolific scorer known for his success in European leagues and with the French national team.
  • E. Anthony Davis
    Anthony Davis is a former American football running back who starred at USC in the early 1970s and later played professionally in the World Football League and the NFL.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797590f08190a784f73fcd27b101 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.