Triple
T14151914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhea Seehorn |
E350702
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Ellen Swatello |
E1126397
|
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: Ellen Swatello | Statement: [Rhea Seehorn, portrays, Ellen Swatello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Swatello Context triple: [Rhea Seehorn, portrays, Ellen Swatello]
-
A.
Ellen Swatello
chosen
Ellen Swatello is a recurring character on the legal comedy-drama series "Franklin & Bash," portrayed as a sharp and ambitious attorney.
-
B.
Lynn Perkins
Lynn Perkins was a screenwriter active during Hollywood’s early sound era, known for crafting stories for action-packed war and adventure films such as *The Fighting Marines*.
-
C.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
D.
Ellen M. Pawlikowski
Ellen M. Pawlikowski is a retired four-star general in the United States Air Force known for her leadership in military space and acquisition programs.
-
E.
Sandra M. Swain
Sandra M. Swain is an American oncologist and clinical researcher known for her leadership in breast cancer trials and contributions to advancing targeted therapies.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e72b9f08190a33e8e20541edd21 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 12:57 a.m.