Triple

T4416601
Position Surface form Disambiguated ID Type / Status
Subject Literate Programming E94988 entity
Predicate notableTool P29151 FINISHED
Object noweb E437491 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: noweb | Statement: [Literate Programming, notableTool, noweb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: noweb
Context triple: [Literate Programming, notableTool, noweb]
  • A. noweb chosen
    noweb is a simple, language-independent literate programming tool that lets programmers interleave documentation and source code in a single, well-structured file.
  • B. cweave
    cweave is a CWEB tool that converts literate C/C++ source files into well-formatted documentation, typically in TeX.
  • C. CWEB literate programming system
    The CWEB literate programming system is a software tool created by Donald E. Knuth (with Silvio Levy) that integrates C or C++ source code with richly formatted documentation to produce both compilable programs and high-quality typeset descriptions.
  • D. Sweave
    Sweave is a tool in the R ecosystem that enables dynamic report generation by integrating statistical analysis code with LaTeX documents for reproducible research.
  • E. Wetty
    "Wetty" is a popular drill-rap track by New York rapper Fivio Foreign that helped boost his mainstream recognition.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613664c548190b5cd0c2667baecc7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:29 p.m.