Triple

T21828047
Position Surface form Disambiguated ID Type / Status
Subject Johann Weiss E538906 entity
Predicate etymologicalCategoryOfFamilyName P2530 FINISHED
Object descriptive surname LITERAL 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: descriptive surname | Statement: [Johann Weiss, etymologicalCategoryOfFamilyName, descriptive surname]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: etymologicalCategoryOfFamilyName
Context triple: [Johann Weiss, etymologicalCategoryOfFamilyName, descriptive surname]
  • A. etymologicalLanguageFamily
    Indicates that one entity is the language family from which the other entity is etymologically derived or historically originates.
  • B. possibleNameEtymology
    Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
  • C. hasNameEtymologyIn
    Indicates that the origin or derivation of an entity’s name is based in, or traceable to, a specified source such as a language, place, or cultural context.
  • D. etymologyType chosen
    Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
  • E. nameEtymologyFor
    Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
  • F. None of above.

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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f09133718081909faa67c3721aed52 completed April 28, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69e6be815a108190be81d7c987d0c0d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:54 p.m.