Triple
T18256527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNOBOL |
E437235
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | AWK |
—
|
NE NERFINISHED |
How this triple was built (3 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 | Statement: [SNOBOL, influenced, AWK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWK Context triple: [SNOBOL, influenced, AWK]
-
A.
GNU Awk
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.
The AWK Programming Language
The AWK Programming Language is a classic technical book that introduced and defined the AWK text-processing language, co-created by its authors, and became a foundational reference for Unix-based scripting and data manipulation.
-
C.
GAWK: Effective AWK Programming
"GAWK: Effective AWK Programming" is a comprehensive guidebook that teaches practical and advanced usage of the GNU implementation of the AWK programming language for text processing and data manipulation.
-
D.
Effective awk Programming
Effective awk Programming is a comprehensive guidebook that teaches practical and advanced usage of the awk text-processing language for Unix-like systems.
-
E.
APL
APL is a widely cited peer-reviewed scientific journal focusing on rapid publication of significant new research in applied physics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWK Target entity description: AWK is a powerful text-processing and pattern-scanning programming language commonly used in Unix-like systems for data extraction and reporting.
-
A.
GNU Awk
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.
The AWK Programming Language
The AWK Programming Language is a classic technical book that introduced and defined the AWK text-processing language, co-created by its authors, and became a foundational reference for Unix-based scripting and data manipulation.
-
C.
GAWK: Effective AWK Programming
"GAWK: Effective AWK Programming" is a comprehensive guidebook that teaches practical and advanced usage of the GNU implementation of the AWK programming language for text processing and data manipulation.
-
D.
Effective awk Programming
Effective awk Programming is a comprehensive guidebook that teaches practical and advanced usage of the awk text-processing language for Unix-like systems.
-
E.
APL
APL is a widely cited peer-reviewed scientific journal focusing on rapid publication of significant new research in applied physics.
- F. None of above. chosen
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd85ee548190a102611fcf709ad4 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.