Triple

T17224659
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Andergast E418081 entity
Predicate spouse P13 FINISHED
Object Josef unclear NED1 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: [Charlotte Andergast, spouse, Josef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef
Context triple: [Charlotte Andergast, spouse, Josef]
  • A. Jozef
    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. chosen

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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de0a8dc819093d9c8fb4f80342c completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675cc70881909cf39b2e229f5d1e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.