Triple
T21552573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Sweet Day |
E531801
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Wanya Morris |
—
|
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: Wanya Morris | Statement: [One Sweet Day, writer, Wanya Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanya Morris Context triple: [One Sweet Day, writer, Wanya Morris]
-
A.
Wanya Morris
chosen
Wanya Morris is an American R&B singer best known as a member of the vocal group Boyz II Men.
-
B.
Keisha Morris
Keisha Morris is an American woman best known for her brief marriage to iconic rapper and actor Tupac Shakur in the mid-1990s.
-
C.
Saundra McClain
Saundra McClain is an American actress known for her work in film, television, and theater.
-
D.
Vonetta Flowers
Vonetta Flowers is an American bobsledder who became the first Black athlete from any country to win a gold medal at the Winter Olympics.
-
E.
Yvette Williams
Yvette Williams was a pioneering New Zealand long jumper and Olympic gold medallist who became one of the country’s most celebrated track and field athletes of the 1950s.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59375f481909d9e2b66d18c7c32 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:29 p.m.