Triple
T1115836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seamus |
E11097
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object | Jaime |
E45938
|
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: Jaime | Statement: [Seamus, isCognateWith, Jaime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime Context triple: [Seamus, isCognateWith, Jaime]
-
A.
Jaime
chosen
Jaime is a given name of Spanish origin, commonly used as a form of James.
-
B.
Aegon
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
C.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
D.
Anthony Skingsley
Anthony Skingsley was a senior Royal Air Force officer who rose to high command during the late 20th century, overseeing key aspects of the UK's air defense.
-
E.
John Alexander
John Alexander was a prominent landowner in colonial Virginia whose family holdings encompassed the area that later became the city of Alexandria.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bba2b550819081f8a100638d2fba |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539783188190896ab66306697b1c |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:43 p.m.