Triple
T3393740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Eggert |
E71478
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | GNU M4 |
E299193
|
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: GNU M4 | Statement: [Paul Eggert, notableWork, GNU M4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU M4 Context triple: [Paul Eggert, notableWork, GNU M4]
-
A.
M4 macro processor
chosen
The M4 macro processor is a general-purpose macro processing language and tool commonly used in Unix-like systems for generating and transforming text, especially in build and configuration workflows.
-
B.
GNU Automake
GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
-
C.
GNU Make
GNU Make is a widely used build automation tool that controls the compilation and linking of programs by interpreting makefiles to manage dependencies and execute commands efficiently.
-
D.
GNU Autoconf
GNU Autoconf is a build configuration tool that automatically generates portable shell scripts to configure software packages for compilation on diverse Unix-like systems.
-
E.
GNU Flex
GNU Flex is a widely used open-source lexical analyzer generator that produces C-based scanners for tokenizing text according to user-defined patterns.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bc8a75c8190ab4f652272d33576 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:14 p.m.