Triple
T16408381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernice Pauahi Bishop |
E398493
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Pauahi |
—
|
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: Pauahi | Statement: [Bernice Pauahi Bishop, hasGivenName, Pauahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pauahi Context triple: [Bernice Pauahi Bishop, hasGivenName, Pauahi]
-
A.
Pauahi
chosen
Pauahi is the given name of Bernice Pauahi Bishop, a Hawaiian high chiefess and philanthropist who founded the Kamehameha Schools.
-
B.
Pauahi
Pauahi was a Hawaiian high chiefess of the early 19th century who became one of the wives of King Kamehameha II.
-
C.
Aiea
Aiea is a residential community on the island of Oahu in Hawaii, located inland from Honolulu and known for its proximity to Pearl Harbor and historic World War II sites.
-
D.
Līhuʻe
Līhuʻe is the principal town and administrative center of Kauai County on the Hawaiian island of Kauai.
-
E.
Kalaheo
Kalaheo is a small residential community on the island of Kauai in Hawaii, known for its hillside neighborhoods, coffee farms, and views over the island’s south shore.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
Created at: April 10, 2026, 5:09 a.m.