Triple
T20146848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Beginning |
E491323
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Smoke and Ashes |
—
|
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: Smoke and Ashes | Statement: [New Beginning, track, Smoke and Ashes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke and Ashes Context triple: [New Beginning, track, Smoke and Ashes]
-
A.
Smoke and Ashes
chosen
"Smoke and Ashes" is a song featured on the album "New Beginning."
-
B.
Fire and Ashes
Fire and Ashes is a political memoir by Michael Ignatieff reflecting on his rise and fall in Canadian politics and the broader challenges of democratic leadership.
-
C.
Legacy of Ashes
Legacy of Ashes is a nonfiction book by journalist Tim Weiner that critically examines the history and failures of the CIA.
-
D.
Beautiful Ashes
"Beautiful Ashes" is a Christian-themed inspirational book co-authored by Beth Shuey that focuses on finding hope, healing, and redemption amid personal hardship and loss.
-
E.
Songs of the Unforgiven
Songs of the Unforgiven is a dark, folk-influenced concept album by Canadian rock band Crash Test Dummies that explores themes of sin, redemption, and mortality.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679f43bc8190a1cd4768b3e87505 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.