Triple
T18144723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinah Craik |
E434356
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dinah Craik |
—
|
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: Dinah Craik | Statement: [Dinah Craik, name, Dinah Craik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinah Craik Context triple: [Dinah Craik, name, Dinah Craik]
-
A.
Dinah Craik
chosen
Dinah Craik was a 19th-century English novelist and poet best known for her popular novel "John Halifax, Gentleman" and her contributions to Victorian literature.
-
B.
Moira Harris
Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
-
C.
Rosemary Forsyth
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
D.
Ruby Pratt
Ruby Pratt is a central character in the British period drama "Lark Rise to Candleford," known for her role in the close-knit rural community depicted in the series.
-
E.
Kate Hardie
Kate Hardie is a British actress and writer known for her work in independent films and television dramas.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de32d3f88190bd9f406729716407 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.