Triple
T11333456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Up (I’ve Had Enough) |
E268406
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | It’ll All Work Out |
E198264
|
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: It’ll All Work Out | Statement: [Let Me Up (I’ve Had Enough), hasTrack, It’ll All Work Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: It’ll All Work Out Context triple: [Let Me Up (I’ve Had Enough), hasTrack, It’ll All Work Out]
-
A.
It Will All Work Out
chosen
"It Will All Work Out" is a song by the American indie rock band The Mutable Set.
-
B.
All Is Well
All Is Well is a popular Chinese television drama series centered on complex family relationships and personal growth, in which Yao Chen plays a leading role.
-
C.
Work It Out
"Work It Out" is Beyoncé's funk-influenced debut solo single, released as part of the soundtrack for the film "Austin Powers in Goldmember."
-
D.
It's All Good
"It's All Good" is a song by Bob Dylan that appears on his 2009 album *Together Through Life*, reflecting the record’s blues-infused, roots-rock style.
-
E.
All in the Day's Work
"All in the Day's Work" is the autobiography of pioneering American investigative journalist and muckraker Ida Tarbell, recounting her life and career exposing corporate abuses.
- 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.