Triple
T7860077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jemima Kirke |
E182472
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jemima |
E450006
|
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 | Statement: [Jemima Kirke, givenName, Jemima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jemima Context triple: [Jemima Kirke, givenName, Jemima]
-
A.
Jemima
chosen
Jemima is a feminine given name of Hebrew origin, traditionally interpreted to mean "dove."
-
B.
Jemmy
Jemmy was an enslaved African man in colonial South Carolina who led the 1739 Stono Rebellion, one of the largest slave uprisings in British North America.
-
C.
Maidie
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
-
D.
Sophie
Sophie is a feminine given name of Greek origin, commonly used in many countries and meaning "wisdom."
-
E.
Abigail
Abigail is a feminine given name of Hebrew origin meaning "my father is joy," historically popular in English-speaking countries.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bb6ca4819098bc00739e07cfc8 |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b4138d081908a5ff16b79f0a0c8 |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:53 p.m.