Triple
T21526838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Makeover |
E531118
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Frances Fisher |
—
|
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: Frances Fisher | Statement: [The Makeover, stars, Frances Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Fisher Context triple: [The Makeover, stars, Frances Fisher]
-
A.
Frances Fisher
chosen
Frances Fisher is an English-born American actress known for her versatile character roles in film and television, including her portrayal of Ruth DeWitt Bukater in Titanic.
-
B.
Shirley Heath
Shirley Heath is a large open heathland and recreational green space located in the Shirley area of the West Midlands, England.
-
C.
Shirley Knight
Shirley Knight was an acclaimed American actress known for her versatile performances in film, television, and theater, earning multiple award nominations and wins throughout her career.
-
D.
Judith Ivey
Judith Ivey is an American actress and director known for her Tony Award–winning stage performances and numerous roles in film and television.
-
E.
Jane Alexander
Jane Alexander is an acclaimed American actress and former chair of the National Endowment for the Arts, known for her extensive work in film, television, and theater.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88515874819085e251c0d297a587 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.