Triple
T11338320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Dizzia |
E268529
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maria Dizzia |
E268529
|
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: Maria Dizzia | Statement: [Maria Dizzia, name, Maria Dizzia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Dizzia Context triple: [Maria Dizzia, name, Maria Dizzia]
-
A.
Maria Dizzia
chosen
Maria Dizzia is an American actress known for her work in film, television, and theater, including roles in projects like "Orange Is the New Black" and various independent films.
-
B.
Sarah Kidd
Sarah Kidd was the wife of the infamous Scottish privateer-turned-pirate Captain William Kidd, known primarily through her association with his life and legacy.
-
C.
April Burns
April Burns is the rebellious, estranged young woman at the center of the indie film "Pieces of April," who attempts to host a Thanksgiving dinner to reconnect with her dysfunctional family.
-
D.
Tessa Dahl
Tessa Dahl is a British author and former actress, known for her novels and as the daughter of writer Roald Dahl and actress Patricia Neal.
-
E.
Rebecca Giblin
Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5433d3e848190ad4f51c23d5a8bb2 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.