Triple
T21160407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krystle Carrington |
E521425
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Krystle Grant |
—
|
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 Grant | Statement: [Krystle Carrington, alsoKnownAs, Krystle Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krystle Grant Context triple: [Krystle Carrington, alsoKnownAs, Krystle Grant]
-
A.
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.
-
B.
Krystal Keith
Krystal Keith is an American country music singer and songwriter, and the daughter of country star Toby Keith.
-
C.
Kymberly Elise
Kymberly Elise is an American actress known for her powerful dramatic performances in film and television, including roles in works like "Beloved," "Set It Off," and "Diary of a Mad Black Woman."
-
D.
Krystle
chosen
Krystle is a feminine given name, often considered a variant spelling of Crystal.
-
E.
Stefanie Scott
Stefanie Scott is an American actress and singer best known for her roles in the Disney Channel series "A.N.T. Farm" and various horror and thriller films.
- 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.