Triple
T12390804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plummer |
E295987
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Amanda Plummer |
E308376
|
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: Amanda Plummer | Statement: [Plummer, hasNotableBearer, Amanda Plummer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Plummer Context triple: [Plummer, hasNotableBearer, Amanda Plummer]
-
A.
Amanda Plummer
chosen
Amanda Plummer is an American actress known for her intense, eccentric character roles in films such as "Pulp Fiction" and "The Fisher King," as well as her work on stage and television.
-
B.
Anne McDonnell
Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
-
C.
Jessica Walter
Jessica Walter was an American actress best known for her sharp, comedic portrayal of Lucille Bluth on the television series "Arrested Development."
-
D.
Linda Purl
Linda Purl is an American actress and singer best known for her roles on television series such as "Happy Days," "Matlock," and "The Office."
-
E.
Dianne Wiest
Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8bc820c8190b6e54a381621fdc8 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:54 p.m.