Triple

T21467578
Position Surface form Disambiguated ID Type / Status
Subject Ignorance E529630 entity
Predicate featuresCharacter P626 FINISHED
Object Josef NE NERFINISHED

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: [Ignorance, featuresCharacter, Josef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef
Context triple: [Ignorance, featuresCharacter, 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. Leoš
    Leoš is a masculine given name most notably borne by the Czech composer Leoš Janáček.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:14 p.m.