Triple
T8787207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muse |
E209070
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Drones |
E586005
|
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: Drones | Statement: [Muse, notableWork, Drones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drones Context triple: [Muse, notableWork, Drones]
-
A.
Drone
chosen
"Drone" is a song by the American rock band Alice in Chains from their album "Rainier Fog."
-
B.
Project Wing delivery drones
Project Wing delivery drones are autonomous aerial vehicles developed by Alphabet’s experimental Moonshot Factory to test and provide rapid, on-demand package delivery services.
-
C.
DJI Agras
DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
-
D.
UAS
UAS is the common abbreviation for University Air Squadrons, UK-based Royal Air Force units that provide flying training and leadership development to university students.
-
E.
Drone Mimic
Drone Mimic is a type of Mimic creature that disguises itself as a drone to deceive and ambush unsuspecting targets.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f76f27c819087aadf768df5adbf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf520678f48190a0af3df75df9b269 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.