Triple
T5105876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleta Adams |
E115091
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Oleta Adams |
E115091
|
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: Oleta Adams | Statement: [Oleta Adams, name, Oleta Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleta Adams Context triple: [Oleta Adams, name, Oleta Adams]
-
A.
Oleta Adams
chosen
Oleta Adams is an American soul, jazz, and gospel singer and pianist best known for her powerful vocals and her hit collaboration "Get Here" and work with the band Tears for Fears.
-
B.
Yolanda Adams
Yolanda Adams is an American gospel singer, radio host, and actress renowned for her powerful vocals and influential contemporary gospel recordings.
-
C.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
D.
Lelah Foster
Lelah Foster is a film producer known for her work on the project "Love, Antosha."
-
E.
Alaqua Cox
Alaqua Cox is a Native American actress best known for playing the deaf superhero Maya Lopez/Echo in the Marvel Cinematic Universe.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9a19d881909f26b327273a95f1 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.