Triple
T23023444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Love (TV series) |
E573231
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sarah Chalke |
—
|
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: Sarah Chalke | Statement: [Mad Love (TV series), starring, Sarah Chalke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Chalke Context triple: [Mad Love (TV series), starring, Sarah Chalke]
-
A.
Sarah Chalke
chosen
Sarah Chalke is a Canadian actress best known for her roles as Dr. Elliot Reid on the sitcom "Scrubs" and Becky Conner on "Roseanne."
-
B.
Kaya Faison
Kaya Faison is one of the children of the late nurse Lisa Askey and actor Donald Faison.
-
C.
Megan Stalter
Megan Stalter is an American comedian and actress best known for her breakout role as the chaotic assistant Kayla on the HBO Max series "Hacks."
-
D.
Abigail Spencer
Abigail Spencer is an American actress known for her roles in television series such as "Mad Men," "Rectify," and "Timeless," as well as various film appearances.
-
E.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847b86688190b678d0d09ecd3c3d |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.