Triple
T5581133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peabo Bryson |
E146641
|
entity |
| Predicate | performedWith |
P9966
|
FINISHED |
| Object | Melissa Manchester |
E452196
|
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: Melissa Manchester | Statement: [Peabo Bryson, performedWith, Melissa Manchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Manchester Context triple: [Peabo Bryson, performedWith, Melissa Manchester]
-
A.
Melissa Manchester
chosen
Melissa Manchester is an American singer-songwriter and actress known for her emotive pop and adult contemporary hits, including classics like "Midnight Blue" and "Don't Cry Out Loud."
-
B.
Laura Branigan
Laura Branigan was an American pop singer and actress best known for her powerful vocals and 1980s hits such as "Gloria" and "Self Control."
-
C.
Barbara West
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
-
D.
Jennifer Warnes
Jennifer Warnes is an American singer-songwriter and interpreter of Leonard Cohen’s work, known for her rich vocals and hit duets such as “(I’ve Had) The Time of My Life.”
-
E.
Donna Dixon
Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208147a48190b2cdb42b9c9814a3 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0285baa648190bf8e94740ea62466 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.