Triple
T22659176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVM1 |
E559315
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Adobe Flash Player |
—
|
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: Adobe Flash Player | Statement: [AVM1, usedIn, Adobe Flash Player]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adobe Flash Player Context triple: [AVM1, usedIn, Adobe 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.
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.
-
C.
Flash
"Flash" is a rock song by Queen, written by guitarist Brian May as the theme for the 1980 science fiction film *Flash Gordon*.
-
D.
Flash
Flash is the loyal horse companion of Dr. Michaela Quinn in the television series "Dr. Quinn, Medicine Woman."
-
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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765dc9088190b022ac564a8b5c26 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:07 p.m.