Triple
T1884992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borland |
E39942
|
entity |
| Predicate | renamedAs |
P65
|
FINISHED |
| Object | Inprise Corporation |
E209546
|
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: Inprise Corporation | Statement: [Borland, renamedAs, Inprise Corporation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inprise Corporation Context triple: [Borland, renamedAs, Inprise Corporation]
-
A.
Inprise Corporation
chosen
Inprise Corporation was the temporary name used by software company Borland during a late-1990s rebranding focused on enterprise solutions.
-
B.
Syntrillium Software
Syntrillium Software was a software company best known for creating the audio editing program Cool Edit, which later evolved into Adobe Audition after Adobe acquired the firm.
-
C.
Relational Software Inc.
Relational Software Inc. was the early name of the company that eventually became Oracle Corporation, a major multinational database and enterprise software company.
-
D.
Wyatt Software
Wyatt Software was a software company known for employing pioneering programmer Ward Cunningham early in his career.
-
E.
Jasper Technologies
Jasper Technologies is a cloud-based Internet of Things (IoT) platform provider known for enabling companies to manage and monetize connected devices and services.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb11eb2d0819088d67b1cfc772049 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae631488190b5b4a8137112e568 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.