Triple
T21928564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strange Weirdos |
E541504
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | So Much to Do |
—
|
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: So Much to Do | Statement: [Strange Weirdos, hasTrack, So Much to Do]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Much to Do Context triple: [Strange Weirdos, hasTrack, So Much to Do]
-
A.
So Much to Do
chosen
"So Much to Do" is a song by Willie Nelson featured on his influential 1973 country album "Shotgun Willie."
-
B.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
C.
So Much Fun
So Much Fun is a 2019 studio album by American rapper Young Thug that showcases his playful, melodic trap style and became one of his most commercially successful releases.
-
D.
So Much I
"So Much I" is a song by the Red Hot Chili Peppers featured on their double album "Stadium Arcadium."
-
E.
A Lot of Livin’ to Do
"A Lot of Livin’ to Do" is an upbeat show tune from the 1960 Broadway musical *Bye Bye Birdie*, known for its lively tempo and celebration of youthful energy and freedom.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.