Triple
T9069466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hershy Kay |
E217327
|
entity |
| Predicate | familyName |
P18
|
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: [Hershy Kay, familyName, Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Context triple: [Hershy Kay, familyName, Kay]
-
A.
Kay
chosen
Kay is a common diminutive or nickname for the given name Catherine.
-
B.
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.
-
C.
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.
-
D.
Kimsey
Kimsey is a surname most notably associated with Jim Kimsey, the co-founder and first CEO of America Online (AOL).
-
E.
Bron
Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffde470388190ae88a96654404410 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.