Triple
T2527380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Jay |
E56068
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jay |
E110755
|
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: Jay | Statement: [Margaret Jay, familyName, Jay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Context triple: [Margaret Jay, familyName, Jay]
-
A.
Jay
chosen
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
B.
Jason
Jason is the official mascot of the Canadian Football League’s Toronto Argonauts, typically depicted as a spirited, fan-engaging character representing the team.
-
C.
Jason
Jason was the expedition ship used for the historic crossing of the Greenland ice cap.
-
D.
Jason
Jason is a famed hero of Greek mythology best known as the leader of the Argonauts in their quest for the Golden Fleece.
-
E.
Jeff
Jeff is a masculine given name commonly used in English-speaking countries, often as a short form of Jeffrey or Jefferson.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd257ea908190a010c0b785853546 |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bb0658c8190b71e1352dc4f6be3 |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:46 p.m.