Triple

T9063282
Position Surface form Disambiguated ID Type / Status
Subject DR-DOS E217181 entity
Predicate operatingSystemFamily P1593 FINISHED
Object DOS E2966 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: DOS | Statement: [DR-DOS, operatingSystemFamily, DOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOS
Context triple: [DR-DOS, operatingSystemFamily, DOS]
  • A. DOS chosen
    DOS is the commonly used acronym for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
  • B. MS-DOS
    MS-DOS is a command-line operating system that became the foundational software platform for early IBM-compatible personal computers in the 1980s and early 1990s.
  • C. DR-DOS
    DR-DOS is a DOS-compatible operating system developed by Digital Research as an alternative to MS-DOS, known for its advanced memory management and multitasking features for IBM PC-compatible computers.
  • D. DOS/VS
    DOS/VS is an IBM mainframe operating system variant designed for virtual storage support on the System/370 family.
  • E. Altair DOS
    Altair DOS is an early disk-based operating system developed for the MITS Altair 8800 microcomputer, providing basic file management and program loading capabilities.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94b9f28481909e20366b0e3d14aa completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f36115c48190bdf0fe6c2eda1252 completed April 4, 2026, 11:17 a.m.
Created at: March 30, 2026, 7:11 p.m.