Triple
T10303081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrystal |
E241680
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Chrystle |
E241680
|
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: Chrystle | Statement: [Chrystal, hasSpellingVariant, Chrystle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chrystle Context triple: [Chrystal, hasSpellingVariant, Chrystle]
-
A.
Krystle
Krystle is a feminine given name, often considered a variant spelling of Crystal.
-
B.
Chrystal
chosen
Chrystal is a given name, typically a variant spelling of Crystal, used primarily as a feminine first name.
-
C.
Natalie Redwater
Natalie Redwater is a central protagonist in Cory Doctorow’s science fiction novel "Walkaway," representing the movement of people who abandon a collapsing capitalist society to build a post-scarcity world.
-
D.
Chrystie Crownover
Chrystie Crownover is an American woman best known as the first wife of Olympic gold medalist and television personality Caitlyn Jenner.
-
E.
Kristina Ceyton
Kristina Ceyton is an Australian film producer best known for her work on acclaimed horror and genre films, including the internationally recognized psychological horror movie "The Babadook."
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d4f6c30819098bcdc77ba1836c3 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:45 a.m.