Triple

T3880398
Position Surface form Disambiguated ID Type / Status
Subject Peja Stojaković E92805 entity
Predicate nickname P55 FINISHED
Object Peja E92805 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: Peja | Statement: [Peja Stojaković, nickname, Peja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peja
Context triple: [Peja Stojaković, nickname, Peja]
  • 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. 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.
  • C. 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).
  • D. Pasko Rakic
    Pasko Rakic is a renowned neuroscientist best known for his pioneering work on the development and organization of the cerebral cortex.
  • E. Peja Stojaković chosen
    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.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec7557cc819094f055463625ffc3 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8983b88190a716987f44487d56 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:20 p.m.