Triple

T16133884
Position Surface form Disambiguated ID Type / Status
Subject Werner Herzog E391470 entity
Predicate sibling P363 FINISHED
Object Lucki Stipetić E1195427 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: Lucki Stipetić | Statement: [Werner Herzog, sibling, Lucki Stipetić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucki Stipetić
Context triple: [Werner Herzog, sibling, Lucki Stipetić]
  • A. Lucki Stipetić chosen
    Lucki Stipetić is a German film producer best known for his long-running collaboration with director Werner Herzog on numerous acclaimed feature films and documentaries.
  • B. Mateo Kostelić
    Mateo Kostelić is a member of Croatia’s prominent Kostelić sporting family, known primarily as the son of renowned ski coach Ante Kostelić.
  • C. Luka Kovač
    Luka Kovač is a fictional Croatian emergency room physician and central character on the television series "ER."
  • D. Arijan Komazec
    Arijan Komazec is a former Croatian professional basketball player known for his scoring ability and for representing Croatia in international competitions during the 1990s.
  • E. Bojan Bazelli
    Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a039f0c8190a679e16a27f2dbe3 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a304348190bf471f2b9279b806 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.