Triple

T22797165
Position Surface form Disambiguated ID Type / Status
Subject Molnar E564279 entity
Predicate hasNotableBearer P458 FINISHED
Object Thomas Molnar NE NERFINISHED

How this triple was built (3 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: Thomas Molnar | Statement: [Molnar, hasNotableBearer, Thomas Molnar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Molnar
Context triple: [Molnar, hasNotableBearer, Thomas Molnar]
  • A. Charles Molnar
    Charles Molnar was an American computer engineer best known as the co-designer of the LINC, one of the earliest minicomputers and a pioneering machine in interactive computing.
  • B. Laszlo Molnar
    Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
  • C. Steven F. Udvar-Házy
    Steven F. Udvar-Házy is a Hungarian-American aircraft leasing pioneer and billionaire businessman known for co-founding International Lease Finance Corporation and for his major philanthropic support of aviation museums.
  • D. Ingo Molnár
    Ingo Molnár is a Hungarian computer programmer best known for his major contributions to the Linux kernel, particularly in process scheduling and real-time computing.
  • E. Rudolf E. Kálmán
    Rudolf E. Kálmán was a pioneering Hungarian-American electrical engineer and mathematician best known for developing the Kalman filter, a fundamental algorithm in control theory and signal processing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Molnar
Target entity description: Thomas Molnar was a Hungarian-American philosopher, historian, and political theorist known for his conservative thought and critiques of modernity and liberalism.
  • A. Charles Molnar
    Charles Molnar was an American computer engineer best known as the co-designer of the LINC, one of the earliest minicomputers and a pioneering machine in interactive computing.
  • B. Laszlo Molnar
    Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
  • C. Steven F. Udvar-Házy
    Steven F. Udvar-Házy is a Hungarian-American aircraft leasing pioneer and billionaire businessman known for co-founding International Lease Finance Corporation and for his major philanthropic support of aviation museums.
  • D. Ingo Molnár
    Ingo Molnár is a Hungarian computer programmer best known for his major contributions to the Linux kernel, particularly in process scheduling and real-time computing.
  • E. Rudolf E. Kálmán
    Rudolf E. Kálmán was a pioneering Hungarian-American electrical engineer and mathematician best known for developing the Kalman filter, a fundamental algorithm in control theory and signal processing.
  • F. None of above. chosen

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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd9b3c0819096050f43a829ec0d completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.