Triple

T2739958
Position Surface form Disambiguated ID Type / Status
Subject Konrad E60724 entity
Predicate hasFeminineForm P1613 FINISHED
Object Konrada E60724 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: Konrada | Statement: [Konrad, hasFeminineForm, Konrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konrada
Context triple: [Konrad, hasFeminineForm, Konrada]
  • A. Konrad chosen
    Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
  • B. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • C. Thaddaeus
    Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
  • D. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • E. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2da94c8190bc9d23262e3dfc07 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc039a9988190a01036b15a19be6c completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:56 p.m.