Triple
T21160405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krystle Carrington |
E521425
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Krystle |
—
|
NE NERFINISHED |
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: Krystle | Statement: [Krystle Carrington, givenName, Krystle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krystle Context triple: [Krystle Carrington, givenName, Krystle]
-
A.
Krystle
chosen
Krystle is a feminine given name, often considered a variant spelling of Crystal.
-
B.
Krystle Campbell
Krystle Campbell was a young American woman from Massachusetts who was killed in the 2013 Boston Marathon bombing and became one of its most widely remembered victims.
-
C.
Krysten
Krysten is a feminine given name most notably associated with American actress and author Krysten Ritter.
-
D.
Krysty
Krysty is a given name most notably borne by Scottish screenwriter Krysty Wilson-Cairns, known for co-writing the film "1917."
-
E.
Krystal Goderitch
Krystal Goderitch is a bubbly, beauty-obsessed yet surprisingly perceptive clone character from the TV series "Orphan Black."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252f70888190b8e6109cc4099ecc |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.