Triple
T18483088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Up |
E451613
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | From Scratch |
—
|
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: From Scratch | Statement: [Double Up, hasTrack, From Scratch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From Scratch Context triple: [Double Up, hasTrack, From Scratch]
-
A.
From Scratch
chosen
From Scratch is a romantic drama miniseries on Netflix that follows an American woman’s transformative love story in Italy, based on Tembi Locke’s memoir and starring Zoe Saldana.
-
B.
Back to Scratch
"Back to Scratch" is a studio album by Welsh singer Charlotte Church that marked her transition from classical crossover child star to a more mature pop and rock-oriented sound.
-
C.
Learn You Inside Out
"Learn You Inside Out" is a song by the Canadian rock band Nickelback from their 2008 album "Dark Horse."
-
D.
From the Ground Up
"From the Ground Up" is a romantic country ballad by American duo Dan + Shay that became one of their signature hits.
-
E.
From the Ground Up
From the Ground Up is a nonfiction book by historian James R. Hansen that explores the development and culture of aviation and aerospace from an insider’s perspective.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.