Triple

T21423483
Position Surface form Disambiguated ID Type / Status
Subject Leather Goddesses of Phobos E528494 entity
Predicate platform P1292 FINISHED
Object DOS 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: DOS | Statement: [Leather Goddesses of Phobos, platform, DOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOS
Context triple: [Leather Goddesses of Phobos, platform, DOS]
  • A. DOS
    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 chosen
    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 (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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.