Triple

T1819274
Position Surface form Disambiguated ID Type / Status
Subject Alfréd Rényi E40505 entity
Predicate givenName P17 FINISHED
Object Alfréd E106173 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: Alfréd | Statement: [Alfréd Rényi, givenName, Alfréd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfréd
Context triple: [Alfréd Rényi, givenName, Alfréd]
  • A. Alfréd chosen
    Alfréd is a given name, primarily used in Hungarian and other Central European languages, that is a variant of the name Alfred.
  • B. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • C. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • D. Franz
    Franz is the given name of Franz Cardinal König, a prominent 20th-century Austrian Catholic cardinal and influential church leader.
  • E. Alfried
    Alfried Krupp von Bohlen und Halbach was a German industrialist who led the Krupp steel and armaments conglomerate during and after World War II.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c39a448190923588d9c07313e1 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:32 p.m.