Triple
T6142336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Riesgraf |
E136990
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Beth Riesgraf |
E136990
|
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: Beth Riesgraf | Statement: [Beth Riesgraf, name, Beth Riesgraf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Riesgraf Context triple: [Beth Riesgraf, name, Beth Riesgraf]
-
A.
Beth Riesgraf
chosen
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
B.
Rhea Seehorn
Rhea Seehorn is an American actress best known for her critically acclaimed role as attorney Kim Wexler on the television series "Better Call Saul."
-
C.
Lily Rabe
Lily Rabe is an American actress known for her versatile performances in film, television, and theater, particularly for her recurring roles in the anthology series "American Horror Story."
-
D.
Caissie Levy
Caissie Levy is a Canadian stage actress and singer best known for her leading roles in major Broadway and West End musicals, including originating Elsa in Disney’s Frozen on Broadway.
-
E.
Lynn Collins
Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb387ac8190a60579b59a741425 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64b9dc6d08190919aa58e05c25635 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:16 p.m.