Triple
T5922564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ActionScript 3.0 |
E131731
|
entity |
| Predicate | runsOn |
P23
|
FINISHED |
| Object |
AVM2
AVM2 is the second-generation ActionScript virtual machine in Adobe Flash Player and AIR, designed to execute ActionScript 3.0 code with improved performance and features over its predecessor.
|
E555974
|
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: AVM2 | Statement: [ActionScript 3.0, runsOn, AVM2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVM2 Context triple: [ActionScript 3.0, runsOn, AVM2]
-
A.
AVA
AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation operations.
-
B.
AVA
AVA is a song featured on the album "TattleTales."
-
C.
AVA
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
-
D.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
-
E.
AVP
AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
- 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: AVM2 Triple: [ActionScript 3.0, runsOn, AVM2]
Generated description
AVM2 is the second-generation ActionScript virtual machine in Adobe Flash Player and AIR, designed to execute ActionScript 3.0 code with improved performance and features over its predecessor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AVM2 Target entity description: AVM2 is the second-generation ActionScript virtual machine in Adobe Flash Player and AIR, designed to execute ActionScript 3.0 code with improved performance and features over its predecessor.
-
A.
AVA
AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation operations.
-
B.
AVA
AVA is a song featured on the album "TattleTales."
-
C.
AVA
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
-
D.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
-
E.
AVP
AVP is the three-letter IATA airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, USA.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03804d9808190829a418adb7864aa |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c041d4f08190863141b037b1c05f |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1db6d548190ba4be143aa7c7905 |
completed | March 23, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c2bdd44881909aa85589d31e771a |
completed | March 23, 2026, 4:34 a.m. |
Created at: March 22, 2026, 4 p.m.