Triple

T20439513
Position Surface form Disambiguated ID Type / Status
Subject Edmund Landau E501345 entity
Predicate notableStudent P4838 FINISHED
Object Otto Szász NE NERFINISHED

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: Otto Szász | Statement: [Edmund Landau, notableStudent, Otto Szász]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto Szász
Context triple: [Edmund Landau, notableStudent, Otto Szász]
  • A. Otto Szász chosen
    Otto Szász was a Hungarian-American mathematician known for his contributions to analysis, particularly in Fourier series and summability theory.
  • B. Lajos Bíró
    Lajos Bíró was a Hungarian novelist, playwright, and screenwriter known for his influential work in early 20th-century European and British cinema.
  • C. András Hámori
    András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
  • D. Zoltán Szilvássy
    Zoltán Szilvássy is a Hungarian physician and academic who has served as rector of the University of Debrecen.
  • E. Gyula Pauer
    Gyula Pauer was a Hungarian sculptor and conceptual artist known for his politically charged public monuments and pioneering work in “pseudo-art,” including co-creating the memorial installation Shoes on the Danube Bank in Budapest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f20fe08190b9370b523a20153d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.