Triple
T16438664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Radio |
E399239
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Donna Summer |
E93370
|
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 Summer | Statement: [On the Radio, composer, Donna Summer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Summer Context triple: [On the Radio, composer, Donna Summer]
-
A.
Donna Summer
chosen
Donna Summer was an American singer, songwriter, and “Queen of Disco” whose powerful vocals and string of 1970s and 1980s dance hits made her an icon of popular music.
-
B.
Gloria Gaynor
Gloria Gaynor is an American disco and soul singer best known for her iconic 1978 hit "I Will Survive," a defining anthem of resilience and empowerment.
-
C.
Barbara West
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
-
D.
Minnie Riperton
Minnie Riperton was an American soul singer best known for her five-octave vocal range and the 1975 hit single "Lovin' You."
-
E.
Pia Zadora
Pia Zadora is an American actress and singer known for her work in film, stage, and pop music, as well as for the controversy surrounding her early critical reception and Golden Globe win.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e380bc81908452f6e8666f23ad |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:10 a.m.