Triple
T16672620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sufferer & the Witness |
E405141
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Drones |
E758579
|
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: [The Sufferer & the Witness, notableTrack, Drones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drones Context triple: [The Sufferer & the Witness, notableTrack, Drones]
-
A.
Drones
chosen
Drones is a concept-driven rock album by the English band Muse that explores themes of dehumanization, warfare, and control through heavy guitar riffs and dramatic, cinematic production.
-
B.
Drone
"Drone" is a song by the American rock band Alice in Chains from their album "Rainier Fog."
-
C.
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.
-
D.
DJI Agras
DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
-
E.
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.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.