Triple
T4537498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly |
E107441
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Kelli
Kelli is a feminine given name, typically considered a variant spelling of Kelly.
|
E450157
|
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: Kelli | Statement: [Kelly, hasVariant, Kelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelli Context triple: [Kelly, hasVariant, Kelli]
-
A.
Kelsey
Kelsey is a given name most famously associated with American actor and comedian Kelsey Grammer.
-
B.
Kaylee
Kaylee is a feminine given name, often considered a modern, creative spelling of names like Cailee, Kayleigh, or Kayla.
-
C.
Keely
Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
-
D.
Kaela Davis
Kaela Davis is an American professional basketball player, known for her collegiate career at South Carolina and for playing in the WNBA, and is the daughter of former NBA player Antonio Davis.
-
E.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
- 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: Kelli Triple: [Kelly, hasVariant, Kelli]
Generated description
Kelli is a feminine given name, typically considered a variant spelling of Kelly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelli Target entity description: Kelli is a feminine given name, typically considered a variant spelling of Kelly.
-
A.
Kelsey
Kelsey is a given name most famously associated with American actor and comedian Kelsey Grammer.
-
B.
Kaylee
Kaylee is a feminine given name, often considered a modern, creative spelling of names like Cailee, Kayleigh, or Kayla.
-
C.
Keely
Keely is a surname most notably associated with Patrick Charles Keely, a prominent 19th-century Irish-American architect known for designing numerous Roman Catholic churches in the United States.
-
D.
Kaela Davis
Kaela Davis is an American professional basketball player, known for her collegiate career at South Carolina and for playing in the WNBA, and is the daughter of former NBA player Antonio Davis.
-
E.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacfb2ba48190b7f1b23785e9d030 |
completed | March 20, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69bdaf867740819090367e5ebd37b4d4 |
completed | March 20, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdafeb5e0881909d4ee62b066dee91 |
completed | March 20, 2026, 8:36 p.m. |
Created at: March 20, 2026, 1:04 p.m.