Triple

T4440867
Position Surface form Disambiguated ID Type / Status
Subject Total Recall E95766 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: [Total Recall, cinematographyBy, Jost Vacano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jost Vacano
Context triple: [Total Recall, 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. Karl Vash
    Karl Vash was a cinematographer known for his work on the Nazi propaganda film "Triumph des Willens" directed by Leni Riefenstahl.
  • D. Matthias Zumtaugwald
    Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
  • E. Marcovaldo
    Marcovaldo is a collection of short stories by Italo Calvino that follows a poor city worker whose naive, poetic outlook reveals the clash between nature and urban industrial life.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61380fca08190bf036a7d82cee0e7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.