Triple
T1476138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen |
E30844
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Karon |
E170203
|
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: Karon | Statement: [Karen, hasVariant, Karon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karon Context triple: [Karen, hasVariant, Karon]
-
A.
Karin
chosen
Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
-
B.
Karo
Karo is a Jewish family name most famously associated with Rabbi Yosef Karo, the 16th-century author of the Shulchan Aruch.
-
C.
Kima
Kima is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
D.
Kinana
Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
-
E.
Kori Rae
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c602387c8190b97a20c8e05e3d16 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2940a44c8190967a62781cca0306 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 8:11 p.m.