Triple

T16391160
Position Surface form Disambiguated ID Type / Status
Subject Predrag Stojaković E398054 entity
Predicate givenName P17 FINISHED
Object Predrag E394139 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: Predrag | Statement: [Predrag Stojaković, givenName, Predrag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Predrag
Context triple: [Predrag Stojaković, givenName, Predrag]
  • A. Predrag chosen
    Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
  • B. Predrag Radosavljević
    Predrag Radosavljević, better known as Preki, is a retired Serbian-American attacking midfielder and coach who starred in Major League Soccer and represented the United States national team.
  • C. Pavle
    Pavle is a South Slavic male given name commonly used in countries such as Serbia, Croatia, and Montenegro, equivalent to Paul in English.
  • D. Predrag Danilović
    Predrag Danilović is a former Serbian professional basketball star, widely regarded as one of Europe’s top shooting guards of the 1990s and a key figure for both club and national teams.
  • E. Predrag Matvejević
    Predrag Matvejević was a Bosnian-Croatian writer, essayist, and public intellectual best known for his influential work "Mediterranean: A Cultural Landscape" and his engagement in political and cultural debates in the former Yugoslavia.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326425c8081908cacffcfa8c7386b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:08 a.m.