Triple

T8289537
Position Surface form Disambiguated ID Type / Status
Subject DirectShow E193859 entity
Predicate uses P98 FINISHED
Object COM E183319 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: COM | Statement: [DirectShow, uses, COM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COM
Context triple: [DirectShow, uses, COM]
  • A. COM chosen
    COM (Component Object Model) is a Microsoft-developed software architecture that enables interprocess communication and reusable binary components across different programming languages and applications on Windows.
  • B. COM
    COM is the commonly used abbreviation for the College of Communication, an academic unit focused on media, journalism, and related communication disciplines.
  • C. COM
    COM is a post-nominal designation used in Canada to denote recipients of the Order of Merit of the Police Forces.
  • D. CM
    CM is the standard abbreviation for "Concrete Mathematics," a well-known textbook by Graham, Knuth, and Patashnik that blends discrete mathematics with concrete problem-solving techniques.
  • E. CM
    CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c99fdd48190a3f304237be609a0 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68898610819091a76f89cd2a6aa2 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.