Triple
T14553963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feel Good Drag |
E341489
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Anberlin |
E68713
|
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: Anberlin | Statement: [Feel Good Drag, artist, Anberlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anberlin Context triple: [Feel Good Drag, artist, Anberlin]
-
A.
Anberlin
chosen
Anberlin is an American alternative rock band known for its melodic sound, emotionally charged lyrics, and success in the 2000s Christian and mainstream rock scenes.
-
B.
Between the Buried and Me
Between the Buried and Me is an American progressive metal band known for its complex song structures, genre-blending compositions, and conceptually ambitious albums.
-
C.
Angels & Airwaves
Angels & Airwaves is an American rock band formed by Tom DeLonge, known for its atmospheric, space-themed sound and multimedia projects.
-
D.
Lord Huron
Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
-
E.
Blue October
Blue October is an American alternative rock band known for emotionally charged songs like "Hate Me" and "Into the Ocean."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe60d4a08190833397c75b56932c |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 1:23 a.m.