Triple
T18106436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Kāne |
E433355
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Herbert Kāne |
—
|
NE NERFINISHED |
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: Herbert Kāne | Statement: [Herb Kāne, name, Herbert Kāne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbert Kāne Context triple: [Herb Kāne, name, Herbert Kāne]
-
A.
George Kane
George Kane is a film and television producer known for his work on the Irish horror-comedy "Boys from County Hell."
-
B.
Herb Kāne
chosen
Herb Kāne was a Native Hawaiian artist, historian, and co-founder of the Polynesian Voyaging Society, renowned for his paintings and research on Polynesian navigation and culture.
-
C.
Ikaika Woolsey
Ikaika Woolsey is an American football quarterback best known for playing college football at the University of Hawaiʻi.
-
D.
William Kane
William Kane is a central fictional character in Jeffrey Archer’s novel "The Prodigal Daughter," portrayed as a powerful, ambitious American businessman and influential political figure.
-
E.
Eugene Sawyer
Eugene Sawyer was an American politician who briefly served as mayor of Chicago in the late 1980s following the death of Harold Washington.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddba6b288190af9a5d9c32d16e98 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.