Triple
T1429823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macromedia |
E30416
|
entity |
| Predicate | notableTechnology |
P22
|
FINISHED |
| Object | Flash runtime |
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 runtime | Statement: [Macromedia, notableTechnology, Flash runtime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flash runtime Context triple: [Macromedia, notableTechnology, Flash runtime]
-
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.
Sprite
Sprite is a popular lemon-lime flavored soft drink known for its crisp, caffeine-free taste and global presence.
-
E.
FMX
FMX (FireMonkey) is a cross-platform application development framework used in Delphi for building native GUI applications on Windows, macOS, iOS, and Android.
- 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.