Triple

T15102235
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Ruff E360696 entity
Predicate relative P37 FINISHED
Object Franz Ruff E347549 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: Franz Ruff | Statement: [Ludwig Ruff, relative, Franz Ruff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz Ruff
Context triple: [Ludwig Ruff, relative, Franz Ruff]
  • A. Franz Ruff chosen
    Franz Ruff was a German architect associated with the Nazi era, known for his work on monumental projects such as the Nuremberg party rally grounds.
  • B. Franz von Walsegg
    Franz von Walsegg was an Austrian count and amateur musician best known for anonymously commissioning Mozart’s Requiem, which he intended to pass off as his own composition.
  • C. Franz Tunder
    Franz Tunder was a 17th-century German organist and composer, noted as a key predecessor of the North German organ school later exemplified by his successor and son-in-law Dieterich Buxtehude.
  • D. Wolfgang Zillig
    Wolfgang Zillig was a German microbiologist and virologist known for his pioneering work on extremophilic archaea and their viruses.
  • E. Franz Eckert
    Franz Eckert was a German musician and composer known for arranging and influencing early modern national anthems in Japan and Korea.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00550007481909e02ee1d597a4d37 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfdffb6081909012cf0707f5c9f5 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:05 a.m.