Triple
T16695384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blink-182 |
E405701
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Angels & Airwaves |
E1170668
|
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: Angels & Airwaves | Statement: [Blink-182, associatedAct, Angels & Airwaves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angels & Airwaves Context triple: [Blink-182, associatedAct, Angels & Airwaves]
-
A.
Angels & Airwaves
chosen
Angels & Airwaves is an American rock band formed by Tom DeLonge, known for its atmospheric, space-themed sound and multimedia projects.
-
B.
Young the Giant
Young the Giant is an American indie rock band known for melodic, anthemic songs like "Cough Syrup" and "My Body."
-
C.
Explosions in the Sky
Explosions in the Sky is an American instrumental post-rock band known for its cinematic, guitar-driven soundscapes and emotionally charged compositions.
-
D.
Blue October
Blue October is an American alternative rock band known for emotionally charged songs like "Hate Me" and "Into the Ocean."
-
E.
Thirty Seconds to Mars
Thirty Seconds to Mars is an American rock band known for its cinematic sound, anthemic choruses, and visually ambitious music videos and live performances.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eacfa788190a8d2058f96c0d445 |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919acd308190a3f29040554b9cfc |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.