Triple
T22273074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Jai Parker |
E550527
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paula Jai Parker |
—
|
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: Paula Jai Parker | Statement: [Paula Jai Parker, name, Paula Jai Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Jai Parker Context triple: [Paula Jai Parker, name, Paula Jai Parker]
-
A.
Paula Jai Parker
chosen
Paula Jai Parker is an American actress and comedian best known for her roles in 1990s films and television series, including the cult classic comedy "Friday."
-
B.
Judine Brooks
Judine Brooks is the wife of fantasy author Terry Brooks and is known for her long-term support of his writing career.
-
C.
Liane Balaban
Liane Balaban is a Canadian actress known for her work in independent films and television dramas.
-
D.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
E.
Joan Porter
Joan Porter is known as the wife of William A. Porter, the co-founder of the online brokerage firm E*TRADE.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.