Triple
T11603465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe South |
E275190
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Walk a Mile in My Shoes |
E936351
|
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: Walk a Mile in My Shoes | Statement: [Joe South, wroteSong, Walk a Mile in My Shoes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walk a Mile in My Shoes Context triple: [Joe South, wroteSong, Walk a Mile in My Shoes]
-
A.
Walk a Mile in My Shoes
chosen
"Walk a Mile in My Shoes" is a soul-influenced country rock song by Joe South, best known for its empathetic message about understanding others’ struggles before judging them.
-
B.
In Your Shoes
"In Your Shoes" is a song featured on the album "Shine On."
-
C.
Put Yourself in My Shoes
Put Yourself in My Shoes is a 1990 country music album by American singer-songwriter Clint Black that helped solidify his early success in the genre.
-
D.
A Shine on Your Shoes
"A Shine on Your Shoes" is a lively popular song from the 1930s, best known today for its memorable performance in the classic MGM musical film *The Band Wagon*.
-
E.
Walk with Me
Walk with Me is a breakout EP by British grime artist Bugzy Malone that helped establish his reputation in the UK music scene.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87077d008190874a8339b64dd5ec |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.