Triple

T3578075
Position Surface form Disambiguated ID Type / Status
Subject Luka Dončić E75734 entity
Predicate familyName P18 FINISHED
Object Dončić E75734 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: Dončić | Statement: [Luka Dončić, familyName, Dončić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dončić
Context triple: [Luka Dončić, familyName, Dončić]
  • A. Peja
    Peja is a historic city in western Kosovo known for its Ottoman-era architecture, proximity to the Rugova Gorge, and role as a cultural and economic center of the region.
  • B. Luka Dončić chosen
    Luka Dončić is a Slovenian NBA superstar guard/forward renowned for his elite playmaking, scoring, and clutch performances.
  • C. Peja Stojaković
    Peja Stojaković is a retired Serbian professional basketball player renowned as one of the NBA’s premier sharpshooters of the early 2000s, particularly for his scoring and three-point shooting.
  • D. Milos Teodosic
    Milos Teodosic is a Serbian professional basketball player renowned as one of Europe's premier playmakers, celebrated for his exceptional court vision, passing, and clutch shooting for both club and national team.
  • E. Darko Perić
    Darko Perić is a Serbian actor best known for playing the loyal and physically imposing Helsinki in the Spanish television series "Money Heist" (La Casa de Papel).
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dd3e048190a0c6666e13ead9cd completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.