Triple
T6354501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemma Jones |
E142957
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jones |
E46350
|
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: Jones | Statement: [Gemma Jones, familyName, Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jones Context triple: [Gemma Jones, familyName, Jones]
-
A.
Jones
chosen
Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
-
B.
John
John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
-
C.
John
John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
-
D.
John
John is the given name of John McCain III, the American politician and longtime U.S. senator from Arizona who was the 2008 Republican presidential nominee.
-
E.
John
John is the given name of Sir John Colborne, a British Army officer and colonial administrator who served as Lieutenant Governor of Upper Canada and later as Lord Seaton.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6045e03e88190a8607e5d73c812bc |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.