Triple
T23440060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Core |
E565370
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Alfre Woodard |
—
|
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: Alfre Woodard | Statement: [The Core, starring, Alfre Woodard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfre Woodard Context triple: [The Core, starring, Alfre Woodard]
-
A.
Alfre Woodard
chosen
Alfre Woodard is an acclaimed American actress known for her powerful performances in film, television, and theater, often portraying complex, socially resonant characters.
-
B.
Angela Bettis
Angela Bettis is an American actress and filmmaker best known for her roles in psychological horror films such as "May" and the 2002 television adaptation of "Carrie."
-
C.
Stockard Channing
Stockard Channing is an American actress best known for her roles as Rizzo in the film "Grease" and First Lady Abbey Bartlet on the television series "The West Wing."
-
D.
Shirley Washington
Shirley Washington is an American actress best known for her film and television work in the 1970s and 1980s.
-
E.
Mary McDonnell
Mary McDonnell is an American actress known for her acclaimed film and television roles, including her work in dramas and science fiction such as "Dances with Wolves" and "Battlestar Galactica."
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5df28288190936f16b017a20bc0 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.