Triple
T16078974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Kerns |
E390049
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kerns
Kerns is a surname most notably associated with American actress and television director Joanna Kerns.
|
E1192617
|
NE FINISHED |
How this triple was built (4 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: Kerns | Statement: [Joanna Kerns, familyName, Kerns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerns Context triple: [Joanna Kerns, familyName, Kerns]
-
A.
Kerns
Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
-
B.
Kerns
Kerns is a Swiss municipality in the canton of Obwalden known for its rural alpine landscape and traditional Central Swiss character.
-
C.
Karns
Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
-
D.
Kern
Kern is a surname most famously associated with Jerome Kern, the pioneering American composer of early 20th-century musical theatre and popular song.
-
E.
Kerniel
Kerniel is a small village in the Belgian province of Limburg, known as one of the rural municipal sections of the town of Borgloon.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kerns Triple: [Joanna Kerns, familyName, Kerns]
Generated description
Kerns is a surname most notably associated with American actress and television director Joanna Kerns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerns Target entity description: Kerns is a surname most notably associated with American actress and television director Joanna Kerns.
-
A.
Kerns
Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
-
B.
Kerns
Kerns is a Swiss municipality in the canton of Obwalden known for its rural alpine landscape and traditional Central Swiss character.
-
C.
Karns
Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
-
D.
Kern
Kern is a surname most famously associated with Jerome Kern, the pioneering American composer of early 20th-century musical theatre and popular song.
-
E.
Kerniel
Kerniel is a small village in the Belgian province of Limburg, known as one of the rural municipal sections of the town of Borgloon.
- F. None of above. chosen
Provenance (5 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c401a881908fcb0b753d2dfc8a |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48907148190ab04520717141788 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe67043588190864864d40956682b |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6f510cc8190b6b8c46c0356d36a |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 4:57 a.m.