Triple

T8499255
Position Surface form Disambiguated ID Type / Status
Subject The NeverEnding Story (1984 film) E201173 entity
Predicate cinematographyBy P1953 FINISHED
Object Jost Vacano E405988 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: Jost Vacano | Statement: [The NeverEnding Story (1984 film), cinematographyBy, Jost Vacano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jost Vacano
Context triple: [The NeverEnding Story (1984 film), cinematographyBy, Jost Vacano]
  • A. Jost Vacano chosen
    Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
  • B. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • C. Andrei Sator
    Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
  • D. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • E. Karl Vash
    Karl Vash was a cinematographer known for his work on the Nazi propaganda film "Triumph des Willens" directed by Leni Riefenstahl.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5984d7481908c41c57bef9cf254 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d1c2ce4819082c92484d3865edf completed April 2, 2026, 1:20 p.m.
Created at: March 30, 2026, 6:14 p.m.