Triple
T6009914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opera (Chromium-based) |
E133805
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Opera Software |
E9276
|
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: Opera Software | Statement: [Opera (Chromium-based), developer, Opera Software]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opera Software Context triple: [Opera (Chromium-based), developer, Opera Software]
-
A.
Opera Software
chosen
Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
-
B.
Altamira Software
Altamira Software was a pioneering computer graphics and digital imaging company co-founded by computer graphics visionary Alvy Ray Smith.
-
C.
WIN Corporation
WIN Corporation is an Australian media company best known for owning and operating the WIN Television network and related broadcasting assets.
-
D.
Vivaldi Technologies
Vivaldi Technologies is a software company best known for developing the highly customizable Vivaldi web browser, founded by former Opera CEO Jon Stephenson von Tetzchner.
-
E.
Avalanche Software
Avalanche Software is an American video game development studio best known for creating titles such as Disney Infinity and Hogwarts Legacy.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1089bd870819096c0f6c7cf484c50 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.