Triple
T13515945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetie |
E322759
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Kay |
E49538
|
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: Kay | Statement: [Sweetie, mainCharacter, Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Context triple: [Sweetie, mainCharacter, Kay]
-
A.
Kay
chosen
Kay is a common diminutive or nickname for the given name Catherine.
-
B.
Kinlan
Kinlan is a surname of Irish origin borne by individuals such as actor Laurence Kinlan.
-
C.
Kinsley
Kinsley is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
-
D.
San
The San are an indigenous hunter-gatherer people of Southern Africa, known for their ancient rock art, click-based languages, and deep ecological knowledge of the Kalahari region.
-
E.
Katherine Cove
Katherine Cove is a scenic sandy beach and picnic area on the shores of Lake Superior in Ontario, known for its clear waters, rock formations, and easy roadside access.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75494642881909f33962afe26f427 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.