Triple
T23260542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watch My Shoes |
E581991
|
entity |
| Predicate | isRemixOf |
P9639
|
FINISHED |
| Object | Watch My Shoes |
—
|
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: Watch My Shoes | Statement: [Watch My Shoes, isRemixOf, Watch My Shoes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watch My Shoes Context triple: [Watch My Shoes, isRemixOf, Watch My Shoes]
-
A.
Watch My Shoes
chosen
"Watch My Shoes" is a track by Lil Wayne featured on his acclaimed 2009 mixtape *No Ceilings*, known for its inventive wordplay and energetic delivery over a remixed beat.
-
B.
Those Shoes
"Those Shoes" is a funk-infused rock song by the Eagles, notable for its talk box guitar effects and appearance on their 1979 album *The Long Run*.
-
C.
Shine My Shoes
"Shine My Shoes" is a song by British pop singer Robbie Williams from his swing-influenced album *Swings Both Ways*.
-
D.
Proud Shoes
Proud Shoes is a 1956 autobiographical family history by Pauli Murray that traces her Black and mixed-race ancestors’ experiences with slavery, segregation, and resilience in the American South.
-
E.
In Your Shoes
"In Your Shoes" is a song featured on the album "Shine On."
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9189c8190a13c17c635227f42 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.