Triple

T17280220
Position Surface form Disambiguated ID Type / Status
Subject Anna Maria E419505 entity
Predicate hasSpellingVariant P457 FINISHED
Object Anna-Maria E1260700 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: Anna-Maria | Statement: [Anna Maria, hasSpellingVariant, Anna-Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna-Maria
Context triple: [Anna Maria, hasSpellingVariant, Anna-Maria]
  • A. Anna-Maria
    Anna-Maria is the given name of Nannette Streicher, a noted Viennese piano maker and close associate of Ludwig van Beethoven.
  • B. Annamaria chosen
    Annamaria is a feminine given name, typically considered a combined form of "Anna" and "Maria" used in various European cultures.
  • C. Anna Margareta
    Anna Margareta Tunder was a historical figure known primarily as the namesake and likely relative of the German Baroque composer and organist Franz Tunder.
  • D. Anna Marie
    Anna Marie, better known as Rogue, is a popular Marvel Comics superhero and longtime member of the X-Men who absorbs others’ powers and memories through touch.
  • E. Ottilia
    Ottilia is a feminine given name of Germanic origin, related to Otto and typically interpreted to mean "wealth" or "prosperity."
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43329904c8190a4cbc856b9b94ff8 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d29f4881908694f0182930d716 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.