Triple
T16672618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sufferer & the Witness |
E405141
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Ready to Fall |
E405151
|
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: Ready to Fall | Statement: [The Sufferer & the Witness, notableTrack, Ready to Fall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ready to Fall Context triple: [The Sufferer & the Witness, notableTrack, Ready to Fall]
-
A.
Ready to Fall
chosen
"Ready to Fall" is a politically charged punk rock song by Rise Against that addresses environmental destruction and humanity’s impact on the planet.
-
B.
When It Falls
"When It Falls" is the second studio album by British electronic music duo Zero 7, known for its mellow downtempo sound and lush, atmospheric production.
-
C.
The Falling
The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
-
D.
Easy to Fall
"Easy to Fall" is a song featured on the album "Trial by Fire."
-
E.
I Knew I Would Fall
"I Knew I Would Fall" is a doo-wop song recorded by the American vocal group The Marcels, known for their distinctive harmonies in the early 1960s.
- 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_6a00a50edea48190b65f4e6a9eb3ba24 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:19 a.m.