Triple
T22884910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirsty MacColl |
E567576
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kirsty |
E1237026
|
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: Kirsty | Statement: [Kirsty MacColl, givenName, Kirsty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirsty Context triple: [Kirsty MacColl, givenName, Kirsty]
-
A.
Kirsty
chosen
Kirsty is a feminine given name, particularly common in Scotland, often used as a diminutive of Kirsten or Christine.
-
B.
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.
-
C.
Kirsten
Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
-
D.
Kirsty Howard
Kirsty Howard was a British child fundraiser who, despite being born with a severe heart defect, became widely known for raising millions of pounds for charity and inspiring people across the UK.
-
E.
Kyla
Kyla is a British R&B singer best known internationally for her vocals on Drake’s hit single “One Dance.”
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fbfc5848190aa612ea51df5a9ec |
completed | April 29, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9bafb9c81909e061c4d2997439a |
completed | May 19, 2026, 1:15 a.m. |
Created at: April 17, 2026, 3:40 p.m.