Triple

T22689557
Position Surface form Disambiguated ID Type / Status
Subject George E561012 entity
Predicate hasVariant P455 FINISHED
Object Georg 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: Georg | Statement: [George, hasVariant, Georg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georg
Context triple: [George, hasVariant, Georg]
  • A. Georg
    Georg is the given first name of the renowned German mathematician Bernhard Riemann.
  • B. Georg
    Georg is the birth name of Pat Smear, the American guitarist best known for his work with the punk band Germs and the rock band Foo Fighters.
  • C. Georg
    Georg was a German prince of the House of Schaumburg-Lippe who briefly ruled the small principality in the late 19th century.
  • D. Georg chosen
    Georg is a masculine given name of Greek origin, commonly used in German-speaking countries and equivalent to the English name George.
  • E. Georg-Hans
    Georg-Hans is the given name of Georg-Hans Reinhardt, a German general who served in the Wehrmacht during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789931148190925ce9038c16413b completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.