Triple
T14622339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shake It Up |
E343254
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Anita Barone |
E455169
|
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: Anita Barone | Statement: [Shake It Up, leadActor, Anita Barone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anita Barone Context triple: [Shake It Up, leadActor, Anita Barone]
-
A.
Anita Barone
chosen
Anita Barone is an American actress known for her work in television sitcoms and comedy series, including roles on shows like Friends and The War at Home.
-
B.
Barbara D’Urso
Barbara D’Urso is an Italian television host and media personality known for presenting popular reality and talk shows on Italian TV.
-
C.
Barbara Granato
Barbara Granato is known as the wife of American ice hockey coach Don Granato.
-
D.
Elaine Nardo
Elaine Nardo is a central character on the classic American sitcom "Taxi," portrayed as a single mother working as a part-time cab driver while pursuing a better life.
-
E.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d379bc881908b7954c633787165 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:25 a.m.