Triple
T10467009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Upside |
E246823
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Julianna Margulies |
E68341
|
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: Julianna Margulies | Statement: [The Upside, castMember, Julianna Margulies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julianna Margulies Context triple: [The Upside, castMember, 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.
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."
-
C.
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."
-
D.
Cynthia Nixon
Cynthia Nixon is an American actress and activist best known for her role as Miranda Hobbes in the television series "Sex and the City" and its related films.
-
E.
Peri Gilpin
Peri Gilpin is an American actress best known for playing radio producer Roz Doyle on the long-running sitcom "Frasier."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092e3230819098ab444f73c9bd40 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.