Triple
T21642148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Dash |
E534111
|
entity |
| Predicate | hasSoloAlbum |
P37317
|
FINISHED |
| Object | Sarah Dash |
—
|
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: Sarah Dash | Statement: [Sarah Dash, hasSoloAlbum, Sarah Dash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Dash Context triple: [Sarah Dash, hasSoloAlbum, Sarah Dash]
-
A.
Sarah Dash
chosen
Sarah Dash was an American singer best known as a member of the pioneering R&B vocal group Labelle, famed for their hit "Lady Marmalade."
-
B.
Shelley Barnes
Shelley Barnes is the full given name of the Arthur character commonly known as Binky Barnes, a tough but good-hearted bulldog who is one of Arthur Read’s classmates.
-
C.
Tess Ross
Tess Ross is the daughter of Carol Hathaway, a central character from the television series "ER."
-
D.
Beth Davenport
Beth Davenport is a recurring character in the television series "The Rockford Files," where she works as a lawyer and often becomes involved in Jim Rockford’s cases.
-
E.
Dawn Shadforth
Dawn Shadforth is a British music video director known for her visually distinctive and narrative-driven work with prominent pop and alternative artists.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5392343c81909820cb0c3c6a4284 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.