Triple
T1429791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macromedia |
E30416
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Flash Player |
E30049
|
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: Flash Player | Statement: [Macromedia, knownFor, Flash Player]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flash Player Context triple: [Macromedia, knownFor, Flash Player]
-
A.
Flash (software)
chosen
Flash (software) is a now-discontinued multimedia platform used for creating and displaying interactive web content, animations, and browser-based games and applications.
-
B.
Adobe AIR
Adobe AIR is a cross-platform runtime system developed by Adobe that allows developers to build and deploy rich Internet applications and games as standalone desktop and mobile apps.
-
C.
ActionScript
ActionScript is an object-oriented programming language primarily used for developing rich internet applications and Adobe Flash content.
-
D.
Macromedia
Macromedia was a pioneering software company best known for creating web and multimedia tools like Flash and Dreamweaver before being acquired by Adobe.
-
E.
QuickTime
QuickTime is Apple’s multimedia framework and file format standard used for handling and playing digital video, audio, and interactive content across platforms.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4db2d7481908d241593d0e17d83 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad016930ec8190ab3900d6f40c4aa0 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.