Triple

T10252920
Position Surface form Disambiguated ID Type / Status
Subject Anastasia E240387 entity
Predicate director P255 FINISHED
Object Darko Tresnjak E554043 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 Tresnjak | Statement: [Anastasia, director, Darko Tresnjak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darko Tresnjak
Context triple: [Anastasia, director, Darko Tresnjak]
  • A. Darko Tresnjak chosen
    Darko Tresnjak is a Tony Award–winning theater and opera director known for his work on Broadway and in major regional theaters.
  • B. Toni Kukoč
    Toni Kukoč is a Croatian basketball legend and versatile forward best known for his success with the Chicago Bulls during their 1990s NBA championship runs and his pioneering role among European players in the NBA.
  • C. Darko Rajaković
    Darko Rajaković is a Serbian professional basketball coach known for his extensive NBA assistant coaching experience and player development expertise.
  • D. Krešimir Ćosić
    Krešimir Ćosić was a legendary Croatian basketball player and coach, renowned as one of Europe’s greatest centers and a pioneer who helped popularize the sport in his home country.
  • E. Marko Jarić
    Marko Jarić is a Serbian former professional basketball player who played as a guard in the NBA and top European leagues.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23f106c81909c1ce20a2ffa86ea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7c6aca08190b15e3790cad12532 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:29 a.m.