Triple
T22314269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Ash |
E551600
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Charles Boberg |
E544739
|
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 Boberg | Statement: [Sharon Ash, coAuthorWith, Charles Boberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Boberg Context triple: [Sharon Ash, coAuthorWith, Charles Boberg]
-
A.
Charles Boberg
chosen
Charles Boberg is a linguist and scholar of North American English dialects, particularly known for his work on regional variation and phonology.
-
B.
Henning Rodhe
Henning Rodhe is a Swedish atmospheric scientist known for his influential research on air pollution, climate change, and global environmental sustainability.
-
C.
Erik Sparre
Erik Sparre was a prominent Swedish statesman and nobleman who rose to become one of the kingdom’s leading political figures in the late 16th and early 17th centuries.
-
D.
Kurt Almqvist
Kurt Almqvist was a Swedish poet, essayist, and translator associated with traditionalist and metaphysical thought.
-
E.
Erik Rudberg
Erik Rudberg was a scientist known as a notable student and collaborator of Nobel Prize–winning chemist George de Hevesy.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15751bf208190b8938a00d1afd157 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad5174c20819090b3f7ffd85a8376 |
completed | May 18, 2026, 9 a.m. |
Created at: April 16, 2026, 8:42 p.m.