Triple
T11124717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Shoes |
E263104
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | White Shoes |
E263104
|
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: White Shoes | Statement: [White Shoes, hasTrack, White Shoes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Shoes Context triple: [White Shoes, hasTrack, White Shoes]
-
A.
White Shoes
chosen
"White Shoes" is a 1983 country album by Emmylou Harris that blends traditional country with pop and rock influences.
-
B.
Silver Shoes
Silver Shoes are the magical footwear in L. Frank Baum’s Oz stories that grant powerful transportation abilities and become central to Dorothy’s journey after she acquires them from the Wicked Witch of the East.
-
C.
In Your Shoes
"In Your Shoes" is a song featured on the album "Shine On."
-
D.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
E.
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*.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d89378c8190acc7afd1ecdbfbac |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.