Triple
T18146767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Dance (album) |
E434409
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | China Girl |
—
|
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: China Girl | Statement: [Let's Dance (album), includesSong, China Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Girl Context triple: [Let's Dance (album), includesSong, China Girl]
-
A.
China Girl
chosen
"China Girl" is a 1983 pop song by David Bowie, co-written with Iggy Pop, known for its new wave sound and controversial music video exploring themes of cultural fetishization and romance.
-
B.
China Girl
"China Girl" is a 1987 romantic crime drama film directed by Abel Ferrara that reimagines the "Romeo and Juliet" story amid gang tensions between New York's Chinatown and Little Italy.
-
C.
Beautiful Girl
"Beautiful Girl" is a song featured on the album *Shine On*.
-
D.
China Doll
"China Doll" is a country music song recorded by American singer Slim Whitman, known for its smooth vocals and sentimental style.
-
E.
China Doll
"China Doll" is a contemplative, melodic song by the Grateful Dead known for its haunting lyrics and delicate, acoustic-driven arrangement.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de34bb608190a4842e86f2912dec |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.