Triple
T18419640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvest for the World |
E441987
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object | Let Me Down Easy |
—
|
NE NERFINISHED |
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: Let Me Down Easy | Statement: [Harvest for the World, hasBside, Let Me Down Easy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Down Easy Context triple: [Harvest for the World, hasBside, Let Me Down Easy]
-
A.
Let Me Down Easy
chosen
Let Me Down Easy is a documentary-style play by Anna Deavere Smith that explores illness, mortality, and the American healthcare system through a series of verbatim monologues drawn from real interviews.
-
B.
Let Me Down Slow
"Let Me Down Slow" is a rock song by The Rolling Stones from their 2005 album *A Bigger Bang*.
-
C.
Let Me Down Gently
"Let Me Down Gently" is a synth-pop song by English act La Roux, known for its atmospheric production and emotionally restrained portrayal of heartbreak.
-
D.
Come Down Easy
"Come Down Easy" is a song featured on John Denver's 1969 folk album "Rhymes & Reasons."
-
E.
Don’t Let Me Down
“Don’t Let Me Down” is a 2016 EDM-pop hit by The Chainsmokers featuring Daya, known for its emotional lyrics, pulsing drop, and widespread commercial success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2b0f0481909c3995bf532162a3 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.