Triple

T5102042
Position Surface form Disambiguated ID Type / Status
Subject Darko Perić E115001 entity
Predicate name P16 FINISHED
Object Darko Perić E115001 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: Darko Perić | Statement: [Darko Perić, name, Darko Perić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darko Perić
Context triple: [Darko Perić, name, Darko Perić]
  • A. Darko Perić chosen
    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).
  • B. Nenad Medvidović
    Nenad Medvidović is a prominent computer scientist known for his influential work in software architecture and software engineering research.
  • C. Nebojša Pavković
    Nebojša Pavković is a former Yugoslav and Serbian general best known for commanding Yugoslav Army forces during the Kosovo War and later facing war crimes charges related to the conflict.
  • D. Nenad Vučinić
    Nenad Vučinić is a Serbian-New Zealand basketball coach and former player best known for leading New Zealand’s national team and coaching at high levels in international and club basketball.
  • E. Petar Nedeljković
    Petar Nedeljković was a Yugoslav military officer who served as a commander in the Royal Yugoslav Army during the German invasion of Yugoslavia in World War II.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba9106ec8190839a7de183efa359 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:41 p.m.