Triple

T16706706
Position Surface form Disambiguated ID Type / Status
Subject Jost Vacano E405988 entity
Predicate name P16 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: [Jost Vacano, name, Jost Vacano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jost Vacano
Context triple: [Jost Vacano, name, 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. Nikolaus Zmeskall
    Nikolaus Zmeskall was an Austrian civil servant, amateur cellist, and close friend of Ludwig van Beethoven who supported and inspired the composer’s chamber music activities.
  • C. Bruno von Mudra
    Bruno von Mudra was a German general of World War I known for his senior command roles on the Western Front.
  • D. Raimundus
    Raimundus is a Latinized given name historically used across medieval Europe, often associated with various saints, scholars, and nobles.
  • E. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833695908190afd4d2ece233be00 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.