Triple

T5819356
Position Surface form Disambiguated ID Type / Status
Subject PL/I E129068 entity
Predicate influencedBy P9 FINISHED
Object COBOL E204900 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: COBOL | Statement: [PL/I, influencedBy, COBOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COBOL
Context triple: [PL/I, influencedBy, COBOL]
  • A. COBOL chosen
    COBOL is a long-established, English-like programming language primarily used for business, finance, and administrative systems on mainframes and enterprise platforms.
  • B. PL/I
    PL/I is a high-level programming language developed by IBM in the 1960s that combines features from scientific, business, and systems programming languages into a single, general-purpose language.
  • C. CICS
    CICS is the College of Information and Computer Sciences at the University of Massachusetts Amherst, known for its research and education in computer science and related fields.
  • D. SNOBOL
    SNOBOL is an early high-level programming language from the 1960s known for its powerful pattern-matching and string-processing capabilities.
  • E. BCPL
    BCPL (Basic Combined Programming Language) is an early, typeless systems programming language developed in the 1960s that significantly influenced the design of the C programming language.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e477c08190a8bd37c879e6b6b8 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.