Triple
T14078039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky |
E338790
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Donna and the Dynamos |
E685233
|
NE FINISHED |
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: Donna and the Dynamos | Statement: [Sky, associatedWith, Donna and the Dynamos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna and the Dynamos Context triple: [Sky, associatedWith, Donna and the Dynamos]
-
A.
Donna and the Dynamos
chosen
Donna and the Dynamos is the fictional all-female pop trio fronted by Donna Sheridan in the Mamma Mia! musical and film franchise.
-
B.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
-
C.
The Girls
"The Girls" is an electro-pop single by Scottish DJ and producer Calvin Harris, known for its catchy synth-driven sound and playful lyrics about his attraction to different types of women.
-
D.
Bananarama
Bananarama is a British female pop music group best known for their 1980s hits like "Cruel Summer" and "Venus."
-
E.
The Glorias
The Glorias is a 2020 biographical drama film that chronicles the life and activism of feminist icon Gloria Steinem across multiple decades.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb670f51c819088e8d0137f8d3bb1 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.