Triple
T3945042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwyane Wade |
E92124
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
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.
|
E402633
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Dwyane Wade, nickname, Flash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flash Context triple: [Dwyane Wade, nickname, Flash]
-
A.
Flash (software)
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 Video
Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
-
C.
ActionScript
ActionScript is an object-oriented programming language primarily used for developing rich internet applications and Adobe Flash content.
-
D.
SWF
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flash Triple: [Dwyane Wade, nickname, Flash]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flash Target entity description: 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.
-
A.
Flash (software)
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 Video
Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
-
C.
ActionScript
ActionScript is an object-oriented programming language primarily used for developing rich internet applications and Adobe Flash content.
-
D.
SWF
SWF is the IATA airport code for Stewart International Airport, a public airport located near Newburgh in New York's Hudson Valley.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef0d8841081908d2c1de8e5758017 |
completed | March 9, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5339869fc8190aee0805a8e2deac5 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5376d19bc81909dadce4a2efcd331 |
completed | March 14, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b538595d2481908812ab03cdb94659 |
completed | March 14, 2026, 10:28 a.m. |
Created at: March 9, 2026, 3:24 p.m.