Triple

T15368574
Position Surface form Disambiguated ID Type / Status
Subject Eric Banadinović E367482 entity
Predicate familyName P18 FINISHED
Object Banadinović E1152849 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: Banadinović | Statement: [Eric Banadinović, familyName, Banadinović]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banadinović
Context triple: [Eric Banadinović, familyName, Banadinović]
  • A. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • B. Eric Banadinović
    Eric Banadinović, better known as Eric Bana, is an Australian actor and comedian recognized for his roles in films such as "Hulk," "Munich," and "Troy."
  • C. Eric Banadinović chosen
    Eric Banadinović is an individual whose specific public background or notable achievements are not clearly established from the available information.
  • D. Nikola Kalabić
    Nikola Kalabić was a controversial Serbian Chetnik commander during World War II, known for leading royalist guerrilla forces and later being accused of collaboration and war crimes.
  • E. Kandić
    Kandić is a Serbian surname most notably associated with human rights activist Nataša Kandić.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.