Triple
T9692152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-50 AWACS |
E234561
|
entity |
| Predicate | NATOReportingName |
P6062
|
FINISHED |
| Object | Mainstay |
E589147
|
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: Mainstay | Statement: [A-50 AWACS, NATOReportingName, Mainstay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mainstay Context triple: [A-50 AWACS, NATOReportingName, Mainstay]
-
A.
Mainstay
chosen
Mainstay is the NATO reporting name for the Beriev A-50, a Soviet/Russian airborne early warning and control (AEW&C) aircraft based on the Ilyushin Il-76 airframe.
-
B.
Mainstream
Mainstream is a 2020 satirical drama film directed by Gia Coppola that critiques internet fame and social media culture.
-
C.
The Essentials
The Essentials is a Turner Classic Movies programming block that showcases and discusses landmark classic films considered essential viewing for cinema lovers.
-
D.
Back to Basics
Back to Basics is a studio album by the American rock band Hurt, known for its blend of alternative metal and post-grunge elements.
-
E.
Red Main
The Red Main is a river in northern Bavaria, Germany, that flows through the city of Bayreuth and forms one of the two headstreams of the Main River.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1911d33f081908637cbf4c1949bcd |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.