Triple
T2792329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Binutils |
E61957
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
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.
|
E299165
|
NE FINISHED |
How this triple was built (4 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 As | Statement: [GNU Binutils, contains, GNU As]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU As Context triple: [GNU Binutils, contains, GNU As]
-
A.
GNU Project
The GNU Project is a free software initiative that created many core components of the GNU/Linux operating system and pioneered the modern free software movement.
-
B.
Gnus
Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
-
C.
GNU Hurd
GNU Hurd is the GNU Project’s microkernel-based operating system server collection intended as a free Unix-like replacement, built to run on top of the Mach microkernel.
-
D.
gnat
GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
-
E.
GNU userland
GNU userland is the collection of GNU software tools, utilities, and libraries that provide the core user-space environment on many Unix-like operating systems, including most Linux distributions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GNU As Triple: [GNU Binutils, contains, GNU As]
Generated description
GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GNU As Target entity description: GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
-
A.
GNU Project
The GNU Project is a free software initiative that created many core components of the GNU/Linux operating system and pioneered the modern free software movement.
-
B.
Gnus
Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
-
C.
GNU Hurd
GNU Hurd is the GNU Project’s microkernel-based operating system server collection intended as a free Unix-like replacement, built to run on top of the Mach microkernel.
-
D.
gnat
GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
-
E.
GNU userland
GNU userland is the collection of GNU software tools, utilities, and libraries that provide the core user-space environment on many Unix-like operating systems, including most Linux distributions.
- F. None of above. chosen
Provenance (5 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd107ac81908eb1a6946834eee3 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65ebe788190859012e930918b05 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc6c6c620819098b76db174a6f98e |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc72b2e3c8190aad78ac8924f07af |
completed | March 10, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:58 p.m.