Triple
T18856707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Tierney |
E461188
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Audrey Reede |
—
|
NE NERFINISHED |
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: Audrey Reede | Statement: [Maura Tierney, portrayed, Audrey Reede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audrey Reede Context triple: [Maura Tierney, portrayed, Audrey Reede]
-
A.
Audrey Reede
chosen
Audrey Reede is a character from the comedy film "Liar Liar," known as the ex-wife of fast-talking lawyer Fletcher Reede and the caring mother of their son Max.
-
B.
Audrey Walters
Audrey Walters is the central character in the 2017 film "Albion," around whom the story’s main events and emotional journey revolve.
-
C.
Audrey Sellers
Audrey Sellers is best known as the former wife of American actor Billy Dee Williams.
-
D.
Frances Bavier
Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
-
E.
Audrey Purcell
Audrey Purcell is one of the children of actor Dominic Purcell, known for his role in the television series "Prison Break."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05d0bb8819094d0447441f85b57 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.