Triple

T15207642
Position Surface form Disambiguated ID Type / Status
Subject Fred Forbat E363429 entity
Predicate givenName P17 FINISHED
Object Frigyes E751950 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: Frigyes | Statement: [Fred Forbat, givenName, Frigyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frigyes
Context triple: [Fred Forbat, givenName, Frigyes]
  • A. Frigyes chosen
    Frigyes is a Hungarian masculine given name, notably borne by the influential mathematician Frigyes Riesz.
  • B. Ernő
    Ernő is a Hungarian-born British modernist architect best known for his influential and often controversial Brutalist buildings in London.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. Kálmán
    Kálmán is a Hungarian surname most notably associated with Rudolf E. Kálmán, the pioneering engineer and mathematician behind the Kalman filter.
  • E. György
    György is a Hungarian given name commonly used for men, equivalent to the English name George.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b8e2788190bd1831762e4181ae completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff755e0f2c819088293d8a55d7883a completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 3:11 a.m.