Triple
T23264635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever My Lady |
E582110
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | K-Ci Hailey |
—
|
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: K-Ci Hailey | Statement: [Forever My Lady, producer, K-Ci Hailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-Ci Hailey Context triple: [Forever My Lady, producer, K-Ci Hailey]
-
A.
K-Ci Hailey
chosen
K-Ci Hailey is an American R&B singer best known as one of the lead vocalists of the influential 1990s group Jodeci and the duo K-Ci & JoJo.
-
B.
JoJo Hailey
JoJo Hailey is an American R&B singer best known as one half of the duo K-Ci & JoJo and a member of the group Jodeci.
-
C.
Kaitlyn Robrock
Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
-
D.
Leisha Hailey
Leisha Hailey is an American actress and musician best known for playing Alice Pieszecki on the groundbreaking LGBTQ+ television series "The L Word."
-
E.
Kaleena Kiff
Kaleena Kiff is a Canadian actress, producer, and director known for her work in film and television, including her role on the series "The New Leave It to Beaver."
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.