Triple

T7164922
Position Surface form Disambiguated ID Type / Status
Subject Brian Kernighan E167041 entity
Predicate knownFor P22 FINISHED
Object AWK programming language E61964 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: AWK programming language | Statement: [Brian Kernighan, knownFor, AWK programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWK programming language
Context triple: [Brian Kernighan, knownFor, AWK programming language]
  • A. GNU Awk chosen
    GNU Awk is the GNU Project’s enhanced implementation of the AWK programming language, widely used for powerful text processing and data extraction in Unix-like environments.
  • B. Practical Extraction and Report Language
    Practical Extraction and Report Language is a high-level, general-purpose programming language known for its powerful text processing, scripting, and system administration capabilities.
  • C. "Unix Text Processing"
    "Unix Text Processing" is a classic technical book that teaches practical techniques for manipulating and formatting text on Unix systems using tools like sed, awk, and troff.
  • D. ABC programming language
    ABC is an early high-level, interactive programming language developed at CWI that emphasized readability and simplicity, and later influenced the design of Python.
  • E. GNU As
    GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e832d2548190aacff0de80dbc268 completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adcc145c8190ba65831ed891a225 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.