Triple
T15506837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Office System |
E379103
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | LisaGraph |
E77076
|
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: LisaGraph | Statement: [Lisa Office System, hasComponent, LisaGraph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LisaGraph Context triple: [Lisa Office System, hasComponent, LisaGraph]
-
A.
LisaGraph
chosen
LisaGraph was a graphing and charting application included with Apple's Lisa computer, used to create visual data representations in the early graphical user interface environment.
-
B.
Grafh
Grafh is an American rapper from Queens, New York, known for his gritty lyricism and work in the underground hip-hop scene.
-
C.
Datograph
The Datograph is a highly regarded luxury chronograph wristwatch by A. Lange & Söhne, celebrated for its in-house movement, flyback function, and exceptional finishing.
-
D.
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.
-
E.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.