Triple
T11093834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krysty Wilson-Cairns |
E262323
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Krysty |
E262322
|
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: Krysty | Statement: [Krysty Wilson-Cairns, givenName, Krysty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krysty Context triple: [Krysty Wilson-Cairns, givenName, Krysty]
-
A.
Krysty
chosen
Krysty is a given name most notably borne by Scottish screenwriter Krysty Wilson-Cairns, known for co-writing the film "1917."
-
B.
Krystle
Krystle is a feminine given name, often considered a variant spelling of Crystal.
-
C.
Krista
Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
-
D.
Krystal
Krystal is a feminine given name, typically considered a modern variant of the name Crystal.
-
E.
Kristy
Kristy is a 2014 American horror-thriller film starring Haley Bennett as a college student terrorized by a violent cult during a holiday break on an almost-empty campus.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7d3043c8190bdbe0ec51992db0c |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.