Triple
T14327676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Joy |
E355254
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | vi text editor |
E355255
|
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: vi text editor | Statement: [Bill Joy, knownFor, vi text editor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: vi text editor Context triple: [Bill Joy, knownFor, vi text editor]
-
A.
vi text editor
chosen
The vi text editor is a classic, modal, screen-oriented text editor for Unix systems that became a standard tool for programmers and system administrators.
-
B.
VIM
VIM is a company that employs Diane Nguyen, likely operating in a professional or corporate services field.
-
C.
vi
vi is a classic, modal text editor for Unix-like systems that became the de facto standard editor on many Unix distributions and inspired more advanced editors like Vim.
-
D.
Vim
Vim is a highly configurable, keyboard-driven text editor renowned for its efficiency, modal editing, and extensive plugin ecosystem, widely used by programmers and power users.
-
E.
Sam text editor
Sam text editor is a powerful, programmable text editor from Bell Labs, designed by Rob Pike with a structural regular-expression-based command language and tight integration between its command and editing interfaces.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1c3e70819084b6728ac5c18561 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46927af48190b91095d852fcacbe |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.