Triple
T13240566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Hours |
E315267
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jemima Kirke |
E182472
|
NE FINISHED |
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: Jemima Kirke | Statement: [The Little Hours, stars, Jemima Kirke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jemima Kirke Context triple: [The Little Hours, stars, Jemima Kirke]
-
A.
Jemima Kirke
chosen
Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
-
B.
Rose McIver
Rose McIver is a New Zealand actress best known for her leading roles in the television series iZombie and Ghosts, as well as numerous film and TV appearances.
-
C.
Samira Wiley
Samira Wiley is an American actress best known for her acclaimed role on the Netflix series "Orange Is the New Black" and her work on "The Handmaid's Tale."
-
D.
Emily Alyn Lind
Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
-
E.
Elisha Cuthbert
Elisha Cuthbert is a Canadian actress known for her roles in film and television, including prominent parts in series like "24" and various comedy and thriller movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78acfd0e88190954533a7f282d83a |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:23 p.m.