Triple
T23308779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Graham Lotz |
E590524
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anne Graham Lotz |
—
|
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: Anne Graham Lotz | Statement: [Anne Graham Lotz, name, Anne Graham Lotz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Graham Lotz Context triple: [Anne Graham Lotz, name, Anne Graham Lotz]
-
A.
Anne Graham Lotz
chosen
Anne Graham Lotz is an American Christian evangelist and author, known for her Bible teaching ministry and as the daughter of renowned preacher Billy Graham.
-
B.
Rachel Hargrove
Rachel Hargrove is an American yacht chef and reality TV personality best known for her outspoken, no-nonsense presence on Bravo’s series "Below Deck."
-
C.
Mary Elizabeth Greear
Mary Elizabeth Greear was the birth name of American film actress Joan Barclay, who appeared in numerous B-movies during the 1930s and 1940s.
-
D.
Anne Caldwell
Anne Caldwell is an author known for writing the book "Sunny."
-
E.
Letha Godfrey
Letha Godfrey is a central character in the horror drama series "Hemlock Grove," known as a sheltered yet enigmatic young woman whose mysterious pregnancy and family ties drive much of the show's supernatural intrigue.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.