Triple
T21861834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Kain |
E539781
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kain |
—
|
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: Kain | Statement: [Karen Kain, familyName, Kain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kain Context triple: [Karen Kain, familyName, Kain]
-
A.
Kain
chosen
Kain is a surname most notably associated with Conrad Kain, an influential early 20th-century Austrian mountain guide and alpinist.
-
B.
Kallocain
Kallocain is a dystopian science fiction novel by Swedish author Karin Boye that portrays a totalitarian surveillance state and the psychological effects of absolute control.
-
C.
Kainach
Kainach is a river in Austria that flows through Styria before joining the Mur River as one of its tributaries.
-
D.
Crayne
Crayne is a surname and place name that serves as an alternative spelling of "Crain."
-
E.
Akuma
Akuma is a powerful and ruthless martial artist from the Street Fighter series, known for mastering the dark Satsui no Hado and serving as one of Ryu’s most dangerous adversaries.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63ae3708190b7ee04c1487713c9 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.