Triple

T16886913
Position Surface form Disambiguated ID Type / Status
Subject Josef Schulz E421562 entity
Predicate givenName P17 FINISHED
Object Josef E66212 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: Josef | Statement: [Josef Schulz, givenName, Josef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef
Context triple: [Josef Schulz, givenName, Josef]
  • A. Jozef chosen
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Josef David
    Josef David was the husband of Ottla Kafka, the youngest sister of writer Franz Kafka, and a member of the Prague Jewish community in the early 20th century.
  • C. Josef Jennewein
    Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
  • D. Josef Niklas
    Josef Niklas was a 19th-century architect known for his work on significant religious and cultural buildings in Prague, including the Spanish Synagogue.
  • E. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a61c608190909a462e9e77220b completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.