Triple
T15506834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Office System |
E379103
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | LisaWrite |
E77073
|
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: LisaWrite | Statement: [Lisa Office System, hasComponent, LisaWrite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LisaWrite Context triple: [Lisa Office System, hasComponent, LisaWrite]
-
A.
LisaWrite
chosen
LisaWrite was the word processing application included with Apple's pioneering Lisa computer, offering a graphical interface for creating and editing documents.
-
B.
Write Bros
Write Bros is a line of affordable, everyday-use pens and pencils produced under the Paper Mate brand.
-
C.
Writers’ Lab
Writers’ Lab is a screenwriting and story development program offered by the Canadian Film Centre to support and train emerging and mid-career writers for film and television.
-
D.
StarWriter
StarWriter is a word processing application that was part of the StarOffice office suite, serving as its primary tool for creating and editing text documents.
-
E.
Skriver
Skriver is a Danish surname most notably associated with fashion model Josephine Skriver.
- 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.