Triple
T14128474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheryl Kennedy |
E340094
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cheryl Kennedy |
E340094
|
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: Cheryl Kennedy | Statement: [Cheryl Kennedy, name, Cheryl Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheryl Kennedy Context triple: [Cheryl Kennedy, name, Cheryl Kennedy]
-
A.
Cheryl Kennedy
chosen
Cheryl Kennedy is a British actress known for her work in theatre and television, and for her former marriage to actor Tom Courtenay.
-
B.
Cheryl Duffield
Cheryl Duffield is known as the wife of American billionaire software entrepreneur and philanthropist David Duffield.
-
C.
Cheryl Frasier
Cheryl Frasier is a sweet-natured, somewhat naive beauty pageant contestant and close friend of FBI agent Gracie Hart in the Miss Congeniality film series.
-
D.
Cheryl Johnson
Cheryl Johnson is the wife of American sportscaster Ernie Johnson Jr., known for her long-standing support of his broadcasting career and their family.
-
E.
Lesa France Kennedy
Lesa France Kennedy is a prominent American motorsports executive who serves as a key leader in NASCAR and the France family’s racing enterprises.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb3da748190a29652e17dbeac33 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 9, 2026, 10:22 p.m.