Triple
T17522356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janis Hunter |
E426704
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Nona Gaye |
—
|
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: Nona Gaye | Statement: [Janis Hunter, relative, Nona Gaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nona Gaye Context triple: [Janis Hunter, relative, Nona Gaye]
-
A.
Nona Gaye
chosen
Nona Gaye is an American singer, model, and actress, known for roles in films such as The Matrix sequels and The Polar Express, and as the daughter of soul legend Marvin Gaye.
-
B.
Vivian Gaye
Vivian Gaye was the wife of renowned German-American film director Ernst Lubitsch, known primarily for her marriage to the influential filmmaker.
-
C.
Janis Gaye
Janis Gaye was an American singer and the second wife of soul legend Marvin Gaye, known for her influence on and connection to his life and legacy.
-
D.
Tammi Terrell
Tammi Terrell was an American soul singer best known for her classic Motown duets with Marvin Gaye, including hits like "Ain't No Mountain High Enough."
-
E.
Gaye
Gaye is a surname most famously associated with American soul and R&B singer Marvin Gaye.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.