Triple
T22489458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVM2 |
E555974
|
entity |
| Predicate | introducedIn |
P513
|
FINISHED |
| Object | Flash Player 9 |
—
|
NE NERFINISHED |
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 9 | Statement: [AVM2, introducedIn, Flash Player 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flash Player 9 Context triple: [AVM2, introducedIn, Flash Player 9]
-
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.
Flash Lite
Flash Lite is a lightweight version of Adobe Flash Player designed for mobile phones and other embedded devices to enable rich multimedia and interactive content.
-
C.
Flash
Flash is the nickname of Dwyane Wade, the explosive Hall of Fame shooting guard best known for leading the Miami Heat to multiple NBA championships.
-
D.
Flash
Flash is a fictional superhero best known for his incredible super-speed and role as a key member of DC Comics' Justice League.
-
E.
Flash
Flash is the Golden Eagles' mascot character, typically depicted as a spirited and energetic golden eagle representing the team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.