Triple

T1690638
Position Surface form Disambiguated ID Type / Status
Subject Giannis Antetokounmpo E36540 entity
Predicate givenName P17 FINISHED
Object Giannis E36540 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: Giannis | Statement: [Giannis Antetokounmpo, givenName, Giannis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giannis
Context triple: [Giannis Antetokounmpo, givenName, Giannis]
  • A. Giannis Antetokounmpo chosen
    Giannis Antetokounmpo is a Greek-Nigerian professional basketball player for the Milwaukee Bucks, renowned as one of the NBA’s most dominant and versatile superstars and a multiple-time MVP.
  • B. Domantas Sabonis
    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.
  • C. Rudy Gobert
    Rudy Gobert is a French professional basketball center, renowned as a multiple-time NBA Defensive Player of the Year and All-Star.
  • D. Andre Drummond
    Andre Drummond is an American professional basketball center known as one of the NBA’s most dominant rebounders of the 2010s.
  • E. Bam Adebayo
    Bam Adebayo is an American professional basketball player and All-Star center for the Miami Heat, known for his elite defense, versatility, and playmaking.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac6cc88819086821026a37a3578 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.