Triple

T15925693
Position Surface form Disambiguated ID Type / Status
Subject Markus Oberhumer E386199 entity
Predicate notableWork P4 FINISHED
Object UPX executable packer E82617 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: UPX executable packer | Statement: [Markus Oberhumer, notableWork, UPX executable packer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UPX executable packer
Context triple: [Markus Oberhumer, notableWork, UPX executable packer]
  • A. UPX chosen
    UPX is an executable packer and compressor commonly used to reduce the size of binary programs.
  • B. UPX
    UPX is a dedicated airport rail link in the Greater Toronto Area that connects Union Station in downtown Toronto with Toronto Pearson International Airport.
  • C. Engrampa archive manager
    Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
  • D. 7zip
    7zip is a high-compression open-source archive format commonly used for efficiently packaging and reducing the size of files.
  • E. PE (Portable Executable)
    PE (Portable Executable) is the standard file format used by Windows operating systems for executables, object code, and DLLs, extending the older COFF format with additional headers and features.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15685b28c8190927b704fef14a159 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7055a48190b0f426f3e3c22f9d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.