Triple
T21877674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasin’ Ladies |
E540191
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Dust |
—
|
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: Dust | Statement: [Chasin’ Ladies, performer, Dust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dust Context triple: [Chasin’ Ladies, performer, Dust]
-
A.
Dust
chosen
Dust was an early 1970s American hard rock and proto–heavy metal band known for featuring future Ramones drummer Marky Ramone (then Marc Bell).
-
B.
Dust
Dust is a crime novel by Patricia Cornwell featuring medical examiner Dr. Kay Scarpetta as she investigates a complex murder case linked to powerful institutions.
-
C.
Dust
Dust is a mysterious, conscious elementary particle central to the metaphysical and theological themes of Philip Pullman’s His Dark Materials universe.
-
D.
Dust
Dust is a musical artist known for composing the score for the work "Learning To Die."
-
E.
Dust
"Dust" is a song featured in the 1938 Gene Autry Western musical film *Under Western Stars*.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33c012c819096d0f7b2ffdc7a2f |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.