Triple
T21032477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Felder |
E518096
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Those 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: Those Shoes | Statement: [Don Felder, notableWork, Those Shoes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Those Shoes Context triple: [Don Felder, notableWork, Those Shoes]
-
A.
Those Shoes
chosen
"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*.
-
B.
Dancing Shoes
"Dancing Shoes" is a painting by Finnish modernist artist Helene Schjerfbeck, exemplifying her distinctive, pared-down style and sensitive exploration of mood and form.
-
C.
Dancing Shoes
"Dancing Shoes" is a song by the English indie rock band Arctic Monkeys, featured on their debut album "Whatever People Say I Am, That's What I'm Not."
-
D.
Shine My Shoes
"Shine My Shoes" is a song by British pop singer Robbie Williams from his swing-influenced album *Swings Both Ways*.
-
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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc83828c81909c1ec745c0313c9f |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:56 p.m.