Triple
T23145529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roadsinger |
E577573
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Boots and Sand |
—
|
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: Boots and Sand | Statement: [Roadsinger, hasSingle, Boots and Sand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boots and Sand Context triple: [Roadsinger, hasSingle, Boots and Sand]
-
A.
Boots and Sand
chosen
"Boots and Sand" is a song by Yusuf Islam (formerly Cat Stevens), featured on his 2009 album *Roadsinger*.
-
B.
Big Boots
"Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
-
C.
Gypsy Boots
Gypsy Boots is a song by the American rock band Aerosmith from their 1985 album "Done with Mirrors."
-
D.
The Shoe
The Shoe is an indie music project fronted by actress and musician Jena Malone, known for its experimental, lo-fi sound and intimate songwriting.
-
E.
The Shoe
The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ece211c81908b53e98f0acae09a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.