Triple
T14440967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache OpenOffice |
E358080
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Draw |
E339021
|
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: Draw | Statement: [Apache OpenOffice, component, Draw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Draw Context triple: [Apache OpenOffice, component, Draw]
-
A.
LisaDraw
LisaDraw was a pioneering graphical drawing and diagramming application for the Apple Lisa computer, notable for its early use of a mouse-driven, WYSIWYG interface.
-
B.
StarDraw
chosen
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
C.
Drawing Walls
Drawing Walls is an art installation featured at Seattle’s Chihuly Garden and Glass, showcasing Dale Chihuly’s creative process through large-scale drawings and studies related to his glass sculptures.
-
D.
Scribble
Scribble is an Apple Pencil feature on iPadOS that converts handwritten input into typed text in real time across compatible apps.
-
E.
Drawa
Drawa is a river in northwestern Poland known for its scenic course through forested areas and its popularity for kayaking and canoeing.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.