Triple

T2796348
Position Surface form Disambiguated ID Type / Status
Subject Saša Stanišić E53045 entity
Predicate name P16 FINISHED
Object Saša Stanišić E53045 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: Saša Stanišić | Statement: [Saša Stanišić, name, Saša Stanišić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saša Stanišić
Context triple: [Saša Stanišić, name, Saša Stanišić]
  • A. Saša Stanišić chosen
    Saša Stanišić is a Bosnian-German writer known for his acclaimed novels and short stories that explore themes of migration, identity, and memory.
  • B. Duško Tadić
    Duško Tadić is a Bosnian Serb former paramilitary who became the first person tried and convicted by the International Criminal Tribunal for the former Yugoslavia for crimes against humanity committed during the Bosnian War.
  • C. Ivica Kostelić
    Ivica Kostelić is a Croatian former World Cup alpine ski racer and Olympic medalist known for his success in slalom and combined events.
  • D. Ante Kostelić
    Ante Kostelić is a Croatian former handball player and renowned ski coach best known for training his children, including legendary alpine skier Janica Kostelić.
  • E. Vladan Đokić
    Vladan Đokić is a Serbian architect and academic who serves as a leading figure in higher education at the University of Belgrade.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddef754081908e6218dc2208e0fd completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6646c2c81908157d8f03cb8376d completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.