Triple

T21282270
Position Surface form Disambiguated ID Type / Status
Subject Justice League: Warworld E524554 entity
Predicate featuresVoiceActor P39669 FINISHED
Object Stana Katic 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: Stana Katic | Statement: [Justice League: Warworld, featuresVoiceActor, Stana Katic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stana Katic
Context triple: [Justice League: Warworld, featuresVoiceActor, Stana Katic]
  • A. Stana Katic chosen
    Stana Katic is a Canadian-American actress best known for her role as Detective Kate Beckett on the television series "Castle."
  • B. Vivien Visnjic
    Vivien Visnjic is a child of Croatian-American actor Goran Visnjic, known for his role on the television series "ER."
  • C. Lana Visnjic
    Lana Visnjic is the daughter of Croatian actor Goran Visnjic.
  • D. Tatiana Pajkovic
    Tatiana Pajkovic is a Danish actress and musician known for her work in film and television and for her marriage to actor Boyd Holbrook.
  • E. Marina Preko
    Marina Preko is a small coastal marina and harbor facility located in the town of Preko on the island of Ugljan, Croatia, serving boaters and yachts in the Zadar area.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d249fc8190b0b310467ddeac3c completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.