Triple
T18198048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mari Blanchard |
E435711
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mari Blanchard |
—
|
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: Mari Blanchard | Statement: [Mari Blanchard, name, Mari Blanchard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mari Blanchard Context triple: [Mari Blanchard, name, Mari Blanchard]
-
A.
Mari Blanchard
chosen
Mari Blanchard was an American film and television actress of the 1950s and 1960s, known for her roles in Westerns and adventure films.
-
B.
Corinne Mulvaney
Corinne Mulvaney is a central matriarchal figure in Joyce Carol Oates’s novel "We Were the Mulvaneys," around whom much of the family’s emotional and moral drama revolves.
-
C.
Kim Reynolds
Kim Reynolds is an American Republican politician serving as the governor of Iowa and known for her conservative policies on taxes, education, and public health.
-
D.
Melissa Hensarling
Melissa Hensarling is the wife of former U.S. Congressman Jeb Hensarling and a figure known primarily in connection with his political career.
-
E.
Joni Ernst
Joni Ernst is a Republican U.S. Senator from Iowa and the first woman elected to Congress from that state.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d47f1c819082eec59492497797 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.