Triple
T15998609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Speedskating Hall of Fame |
E388038
|
entity |
| Predicate | hasInductee |
P1750
|
FINISHED |
| Object | Ken Henry |
E162946
|
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: Ken Henry | Statement: [National Speedskating Hall of Fame, hasInductee, Ken Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Henry Context triple: [National Speedskating Hall of Fame, hasInductee, Ken Henry]
-
A.
Ian Telfer
Ian Telfer is a Canadian mining executive and philanthropist known for his leadership in the resource industry and major donations to higher education.
-
B.
Richard Smith
Richard Smith is a son of Frederick W. Smith, the American businessman best known as the founder of FedEx.
-
C.
Richard Smith
Richard Smith is best known as the husband of American actress Elinor Donahue, recognized for her roles in classic television series.
-
D.
Kenneth Henry
chosen
Kenneth Henry was an American speed skater who won Olympic gold and later gained recognition for lighting the Olympic cauldron at the 1960 Winter Games in Squaw Valley.
-
E.
Chris Haywood
Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157893ebc8190acb75ee05e450fae |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1edc7c81908fdd0fa00418d7a7 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.