Triple

T9480022
Position Surface form Disambiguated ID Type / Status
Subject Conrad E228611 entity
Predicate hasVariant P455 FINISHED
Object Konrád 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: Konrád | Statement: [Conrad, hasVariant, Konrád]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konrád
Context triple: [Conrad, hasVariant, Konrád]
  • 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. Conrad Falkenberg
    Conrad Falkenberg was a medieval Swedish statesman who served as the kingdom’s highest legal and political official during his tenure as Lord High Chancellor.
  • C. Karl Blodig
    Karl Blodig was a pioneering Austrian mountaineer and ophthalmologist renowned as one of the first climbers to ascend all major Alpine peaks over 4,000 meters.
  • D. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • E. Siegfried Javotnik
    Siegfried Javotnik is the impulsive, idealistic young Austrian protagonist of John Irving’s novel "Setting Free the Bears," whose quixotic plan to liberate zoo animals drives the story’s central events.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139f261248190b8e3238f7618191d completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:54 p.m.