Triple
T5914245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuts |
E131537
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | Shannon Elizabeth as Tiffany Sherwood |
E23613
|
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: Shannon Elizabeth as Tiffany Sherwood | Statement: [Cuts, characterRole, Shannon Elizabeth as Tiffany Sherwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon Elizabeth as Tiffany Sherwood Context triple: [Cuts, characterRole, Shannon Elizabeth as Tiffany Sherwood]
-
A.
Shannon Elizabeth
chosen
Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
-
B.
Laura Innes
Laura Innes is an American actress and television director best known for her long-running role as Dr. Kerry Weaver on the medical drama series "ER."
-
C.
Victoria Knox – Jessica Alba
Victoria Knox is the ruthless and cunning arms dealer portrayed by Jessica Alba in the action-comedy film "Barely Lethal."
-
D.
Nikki Reed
Nikki Reed is an American actress and screenwriter best known for her role as Rosalie Hale in the Twilight film series.
-
E.
Gina Torres
Gina Torres is an American actress known for her roles in television series such as "Suits," "Firefly," and "Hannibal."
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b9f0908190ad854e5f2600f114 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02430bc8190a63b91b6dbdbc9f2 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 3:59 p.m.