Triple

T13576795
Position Surface form Disambiguated ID Type / Status
Subject Prince Andrej of Yugoslavia E324306 entity
Predicate givenName P17 FINISHED
Object Andrej E126090 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: Andrej | Statement: [Prince Andrej of Yugoslavia, givenName, Andrej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrej
Context triple: [Prince Andrej of Yugoslavia, givenName, Andrej]
  • A. Andrej chosen
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • B. Ondrej
    Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • C. Andrej Sustr
    Andrej Šustr is a Czech professional ice hockey defenseman who has played in the NHL, most notably for the Tampa Bay Lightning.
  • D. Andrej Radlinský
    Andrej Radlinský was a 19th-century Slovak Catholic priest, writer, and national activist who played a significant role in the Slovak national revival movement.
  • E. Danijel
    Danijel is the central male protagonist in the war drama film "In the Land of Blood and Honey," which explores a complex relationship set against the backdrop of the Bosnian War.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbbe3c08190a359dfe7c3c8f15c completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.