Triple
T22760794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evelyn |
E562980
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Julianna Margulies |
—
|
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: Julianna Margulies | Statement: [Evelyn, starring, Julianna Margulies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julianna Margulies Context triple: [Evelyn, starring, Julianna Margulies]
-
A.
Julianna Margulies
chosen
Julianna Margulies is an American actress best known for her acclaimed television roles on series such as "ER" and "The Good Wife."
-
B.
Laura Birn
Laura Birn is a Finnish actress known internationally for her role in the science fiction television series "Foundation" and for her work in both Finnish cinema and global productions.
-
C.
Katherine Noel Brosnahan
Katherine Noel Brosnahan, better known as Kate Spade, was an American fashion designer and businesswoman who co-founded the iconic accessories and lifestyle brand Kate Spade New York.
-
D.
Claire Danes
Claire Danes is an American actress acclaimed for her roles in projects such as the television series "Homeland" and the film "Romeo + Juliet."
-
E.
Betty Gilpin
Betty Gilpin is an American actress best known for her Emmy-nominated role in the Netflix series "GLOW" and performances in films such as "The Hunt" and "The Tomorrow War."
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7c45b881908b29ba1439038789 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.