Triple
T17884109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Berger |
E447159
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karen Berger |
—
|
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: Karen Berger | Statement: [Karen Berger, name, Karen Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Berger Context triple: [Karen Berger, name, Karen Berger]
-
A.
Karen Berger
chosen
Karen Berger is an influential American comic book editor best known for founding and leading DC Comics' Vertigo imprint, which championed mature, creator-driven titles.
-
B.
Barbara Guggenheim
Barbara Guggenheim is a member of the prominent Guggenheim family, known for its significant influence in art patronage and philanthropy.
-
C.
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
-
D.
Geraldine Freund
Geraldine Freund is known primarily as the daughter of influential cinematographer and director Karl Freund.
-
E.
Susan Anspach
Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c11530881908ad98fbd0a52b1c3 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.