Triple
T23522144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Beauty |
E574536
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Ripple |
—
|
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: Ripple | Statement: [American Beauty, hasTrack, Ripple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ripple Context triple: [American Beauty, hasTrack, Ripple]
-
A.
Ripple
Ripple is a small village in the Dover District of Kent, England, known for its rural character and historic parish church.
-
B.
Ripple
chosen
"Ripple" is a beloved folk-influenced ballad by the Grateful Dead, known for its gentle melody, spiritual lyrics, and enduring sing-along chorus.
-
C.
Tether
"Tether" is a song by the American folk-rock duo Indigo Girls, known for its introspective lyrics and harmonies.
-
D.
A Ripple Song
"A Ripple Song" is a short poem by Rudyard Kipling that appears in *The Second Jungle Book*, reflecting the natural rhythms and voices of the jungle.
-
E.
Libra
Libra is a zodiac constellation in the Southern Celestial Hemisphere, traditionally depicted as a set of scales and associated with balance and justice.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac70b7888190b4abc4f78bdf539c |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:08 p.m.