Triple
T11333459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Up (I’ve Had Enough) |
E268406
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | All Mixed Up |
E757004
|
NE FINISHED |
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: All Mixed Up | Statement: [Let Me Up (I’ve Had Enough), hasTrack, All Mixed Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Mixed Up Context triple: [Let Me Up (I’ve Had Enough), hasTrack, All Mixed Up]
-
A.
All Mixed Up
"All Mixed Up" is a popular song by the American rock band 311, known for its blend of rock, reggae, and hip hop influences.
-
B.
Crazy and Mixed Up
Crazy and Mixed Up is a 1982 jazz vocal album by Sarah Vaughan that showcases her mature, expressive style in an intimate small-group setting.
-
C.
“All Mixed Up”
chosen
“All Mixed Up” is a song by the American rock band 311, known for its blend of alternative rock, reggae, and funk influences.
-
D.
Mixed Me!
"Mixed Me!" is a children's picture book by Taye Diggs that celebrates a biracial child's identity, confidence, and sense of self.
-
E.
Mix Up, Mix Up
"Mix Up, Mix Up" is a track from the 1978 reggae album *Confrontation* by the legendary Jamaican singer and songwriter Bob Marley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.