Triple
T13758902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Age of Alpinism |
E330546
|
entity |
| Predicate | notableParticipant |
P6467
|
FINISHED |
| Object | Charles Hudson |
E211262
|
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: Charles Hudson | Statement: [Golden Age of Alpinism, notableParticipant, Charles Hudson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Hudson Context triple: [Golden Age of Alpinism, notableParticipant, Charles Hudson]
-
A.
Charles Hudson
chosen
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
B.
Sam Hudson
Sam Hudson is a musician best known for having been a member of the American rock band Everclear.
-
C.
Alex Hawkins
Alex Hawkins was an American football player and broadcaster who served as a television announcer for the 1974 World Bowl.
-
D.
Charlie Simms
Charlie Simms is the conscientious and financially struggling prep-school student who serves as the moral center and primary protagonist alongside Al Pacino’s character in the film "Scent of a Woman."
-
E.
Dan Osborn
Dan Osborn is a music industry figure best known as a founder of the independent record label Drag City.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0223ab9081909db05334860405e0 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85dfa6881908da90886db4aa1bb |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.