Triple
T12119756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie |
E288661
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lesleigh |
E713641
|
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: Lesleigh | Statement: [Leslie, hasVariant, Lesleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesleigh Context triple: [Leslie, hasVariant, Lesleigh]
-
A.
Lesley
chosen
Lesley is the given name of English soprano and media personality Lesley Garrett.
-
B.
Kayleigh
"Kayleigh" is a 1985 rock ballad by the British band Marillion, known as one of their biggest hits and a defining song of the neo-progressive rock era.
-
C.
Carliegh
Carliegh is a given name, likely a modern or creative variant of the name Carlie.
-
D.
Laura-Leigh
Laura-Leigh is an American actress known for her roles in film and television, including appearances in horror and drama projects.
-
E.
Lazelle
Lazelle is a feminine given name, used here as the middle name of Harriet Amanda Lazelle Warner.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91577a03c81909add7a5d7324a648 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a77e3588190bf84b3c3aa311641 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.