Triple
T18161012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Edelstein |
E434760
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lisa Edelstein |
—
|
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: Lisa Edelstein | Statement: [Lisa Edelstein, name, Lisa Edelstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Edelstein Context triple: [Lisa Edelstein, name, Lisa Edelstein]
-
A.
Lisa Edelstein
chosen
Lisa Edelstein is an American actress and writer best known for her role as Dr. Lisa Cuddy on the television series "House" and for prominent performances in various film and TV dramas and comedies.
-
B.
Rachel Margulies
Rachel Margulies is an individual notable enough to be specifically cited as a bearer of the Margulies surname.
-
C.
Susan Margulies
Susan Margulies is an American biomedical engineer recognized for her research on brain and lung injury biomechanics and for her leadership roles in national science and engineering organizations.
-
D.
Nicole Jaffe
Nicole Jaffe is a Canadian actress and voice artist best known for originating the voice of Velma Dinkley in the classic Scooby-Doo animated series.
-
E.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec21e6081909070491f679c873c |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.