Triple

T1793380
Position Surface form Disambiguated ID Type / Status
Subject OS/360 E39547 entity
Predicate successor P78 FINISHED
Object MVS E200568 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: MVS | Statement: [OS/360, successor, MVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MVS
Context triple: [OS/360, successor, MVS]
  • A. MVS chosen
    MVS (Multiple Virtual Storage) is an IBM mainframe operating system that became the dominant successor to OS/360, providing advanced virtual memory and multitasking capabilities for enterprise computing.
  • B. VMS
    VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
  • C. VAX
    VAX is a line of 32-bit minicomputers and their associated architecture developed by Digital Equipment Corporation, widely used in the late 20th century for time-sharing and scientific computing.
  • D. System M
    System M is the analog television broadcasting system used in NTSC countries, characterized by 525 lines per frame and a 60 Hz field rate.
  • E. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653c4c148190bfe6ac017ecbf695 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf54330c81908046b519a0297760 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.