Triple
T9532537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VT100 |
E229930
|
entity |
| Predicate | modelNumber |
P8607
|
FINISHED |
| Object | VT100 |
E229930
|
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: VT100 | Statement: [VT100, modelNumber, VT100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VT100 Context triple: [VT100, modelNumber, VT100]
-
A.
VT100 terminal
chosen
The VT100 terminal is a widely influential video display terminal introduced by Digital Equipment Corporation in the late 1970s, known for popularizing ANSI escape codes and becoming a de facto standard for text-based computer interfaces.
-
B.
ANSI
ANSI is a private non-profit organization that oversees the development and coordination of voluntary consensus standards for products, services, processes, and systems in the United States.
-
C.
xterm
xterm is a widely used terminal emulator for the X Window System on Unix-like operating systems, known for its long history and role as a de facto standard.
-
D.
Terminal
Terminal is a 2018 neo-noir thriller film starring Margot Robbie, known for its stylized visuals and dark, twisting narrative.
-
E.
Terminal
Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4033c08190a71535b63d86f4df |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8 p.m.