Triple
T13952369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Maxson |
E335560
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Tonya Pinkins |
E579196
|
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: Tonya Pinkins | Statement: [Rose Maxson, portrayedBy, Tonya Pinkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonya Pinkins Context triple: [Rose Maxson, portrayedBy, Tonya Pinkins]
-
A.
Tonya Pinkins
chosen
Tonya Pinkins is a Tony Award–winning American actress and singer known for her powerful performances on Broadway, in film, and on television.
-
B.
Dawn Richardson
Dawn Richardson is an American rock drummer best known for her work with the alternative rock band 4 Non Blondes.
-
C.
Teresa Weatherspoon
Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
-
D.
Jennifer Azzi
Jennifer Azzi is a former American basketball star and Olympic gold medalist who led Stanford University to an NCAA championship before playing professionally and later becoming a coach and sports executive.
-
E.
Linda Oubre
Linda Oubre is an American academic leader and administrator who serves as the president of Whittier College.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cea88081908c37836447410b97 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.