Triple

T10380839
Position Surface form Disambiguated ID Type / Status
Subject VM/370 E244635 entity
Predicate component P35 FINISHED
Object Conversational Monitor System E724115 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: Conversational Monitor System | Statement: [VM/370, component, Conversational Monitor System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conversational Monitor System
Context triple: [VM/370, component, Conversational Monitor System]
  • A. Conversational Monitor System (CMS) chosen
    Conversational Monitor System (CMS) is an interactive, single-user operating environment and command shell within IBM's VM family, used primarily for program development, text editing, and running applications.
  • B. Hearsay speech understanding system
    The Hearsay speech understanding system is an early, influential AI project that pioneered blackboard architectures for integrating multiple knowledge sources in continuous speech recognition.
  • C. Open System for Communication in Realtime
    Open System for Communication in Realtime (OSCAR) is AOL's proprietary instant messaging and presence protocol used by services like AIM and ICQ.
  • D. FOCAL monitor systems
    FOCAL monitor systems are early software environments designed to run the FOCAL programming language on PDP-8 minicomputers, providing basic program execution and system control functions.
  • E. SPEAKING model of speech events
    The SPEAKING model of speech events is Dell Hymes’s influential ethnographic framework that analyzes communicative situations through components like setting, participants, ends, act sequence, key, instrumentalities, norms, and genre.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:03 p.m.