Triple

T19922325
Position Surface form Disambiguated ID Type / Status
Subject Ivo Sanader E478828 entity
Predicate name P16 FINISHED
Object Ivo Sanader NE NERFINISHED

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: Ivo Sanader | Statement: [Ivo Sanader, name, Ivo Sanader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivo Sanader
Context triple: [Ivo Sanader, name, Ivo Sanader]
  • A. Ivo Sanader chosen
    Ivo Sanader is a Croatian politician who served as prime minister in the 2000s and later became widely known for high-profile corruption scandals and criminal convictions.
  • B. Zoran Milanović
    Zoran Milanović is a Croatian politician and former prime minister who serves as the country’s president.
  • C. Andrej Plenković
    Andrej Plenković is a Croatian politician and leader of the Croatian Democratic Union (HDZ) who has served as the country’s prime minister since 2016.
  • D. Kosta Pećanac
    Kosta Pećanac was a Serbian Chetnik leader and military commander known for his controversial role and shifting alliances during the Balkan Wars, World War I, and World War II.
  • E. Ivica Dačić
    Ivica Dačić is a Serbian politician who has served in multiple top government roles, including prime minister and foreign minister, and is a prominent leader of the Serbian left.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c6919c8190a96106532580b6b6 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.