Triple
T19336121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Smart |
E483627
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kathy Baker |
—
|
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: Kathy Baker | Statement: [Street Smart, starring, Kathy Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Baker Context triple: [Street Smart, starring, Kathy Baker]
-
A.
Kathy Baker
chosen
Kathy Baker is an American actress acclaimed for her nuanced performances in film and television, particularly for her role in the series "Picket Fences."
-
B.
Kathleen Wilhoite
Kathleen Wilhoite is an American actress and singer-songwriter known for her character roles in film and television, including appearances in projects like "Lorenzo's Oil," "ER," and "Gilmore Girls."
-
C.
Kathryn Blair
Kathryn Blair is the daughter of former UK Prime Minister Tony Blair and prominent barrister Cherie Booth.
-
D.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
E.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61645c0dc8190b64e15c735bcb9f4 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.