Triple
T20618906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nightingale |
E506645
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jennifer Kent |
—
|
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: Jennifer Kent | Statement: [The Nightingale, writer, Jennifer Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Kent Context triple: [The Nightingale, writer, Jennifer Kent]
-
A.
Jennifer Kent
chosen
Jennifer Kent is an Australian filmmaker and former actress best known for writing and directing the critically acclaimed horror film "The Babadook."
-
B.
Julie Kent
Julie Kent is a renowned American ballerina celebrated for her long and distinguished career as a principal dancer and later artistic director in the world of classical ballet.
-
C.
Josephine Decker
Josephine Decker is an American filmmaker and actress known for her psychologically rich, formally experimental independent films such as "Madeline’s Madeline" and "Shirley."
-
D.
Cate Shortland
Cate Shortland is an Australian film and television director known for character-driven dramas and for directing the Marvel superhero film "Black Widow."
-
E.
Amy Jenkins
Amy Jenkins is a British screenwriter and novelist best known for her work on the acclaimed BBC drama series "This Life."
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abdf9d7c8190969247a4ae55b781 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:41 a.m.