Triple
T7659691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Anderson |
E173472
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | LaWanda Page |
E683207
|
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: LaWanda Page | Statement: [Esther Anderson, portrayedBy, LaWanda Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaWanda Page Context triple: [Esther Anderson, portrayedBy, LaWanda Page]
-
A.
LaWanda Page
chosen
LaWanda Page was an American comedian and actress best known for her sharp-tongued, Bible-quoting character Aunt Esther on the television sitcom "Sanford and Son."
-
B.
Leola Brown
Leola Brown was the wife of Oliver Brown, the named plaintiff in the landmark U.S. Supreme Court school desegregation case Brown v. Board of Education.
-
C.
Gloria Gaines
Gloria Gaines is the wife of longtime White House butler Cecil Gaines in the film "The Butler," serving as a central figure in his personal and family life.
-
D.
Marcellite Garner
Marcellite Garner was an American voice actress best known for originating the voice of Minnie Mouse in early Disney cartoons.
-
E.
Vivian Nixon
Vivian Nixon is an American actress and dancer known for her work in musical theatre and television, including roles on shows like "Grey's Anatomy."
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a32f588190a7a923e8ce43f727 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f716a48190a0ca52caffc2c1c1 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 3:59 p.m.