Triple
T23189039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karis Jagger |
E579679
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Karis |
—
|
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: Karis | Statement: [Karis Jagger, givenName, Karis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karis Context triple: [Karis Jagger, givenName, Karis]
-
A.
Karis
chosen
Karis is the surname of Alar Karis, an Estonian biologist, academic, and politician who has served as the President of Estonia.
-
B.
Kari
Kari is a Finnish given name commonly used for both males and females.
-
C.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Kara
Kara is a feminine given name used in various cultures, often associated with meanings like “beloved,” “friend,” or “pure.”
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.