Triple
T6773327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo’ Better Blues |
E155093
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Cynda Williams |
E252067
|
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: Cynda Williams | Statement: [Mo’ Better Blues, starring, Cynda Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynda Williams Context triple: [Mo’ Better Blues, starring, Cynda Williams]
-
A.
Cynda Williams
chosen
Cynda Williams is an American actress and singer best known for her breakout role in the film "Mo' Better Blues" and subsequent work in independent cinema and television.
-
B.
Cyndy Hall
Cyndy Hall is a member of the Hall family best known as the sister of American model and actress Jerry Hall.
-
C.
Cinnamon Carter
Cinnamon Carter is a fictional character, a sophisticated and resourceful female agent on the classic television series "Mission: Impossible."
-
D.
Cyndi Thomson
Cyndi Thomson is an American country music singer best known for her early-2000s hit single "What I Really Meant to Say" and her brief but successful recording career.
-
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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24c1b088190b99e9264b9b03dd8 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a803fe08190b4dc32d09e91da07 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:13 p.m.