Triple
T24149861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asa Thurston |
E598497
|
entity |
| Predicate | roleInHawaiianHistory |
P87512
|
FINISHED |
| Object | pioneer of Protestant missions in Hawaii |
—
|
LITERAL 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: pioneer of Protestant missions in Hawaii | Statement: [Asa Thurston, roleInHawaiianHistory, pioneer of Protestant missions in Hawaii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInHawaiianHistory Context triple: [Asa Thurston, roleInHawaiianHistory, pioneer of Protestant missions in Hawaii]
-
A.
roleOnHokulea
Indicates the specific role or position an entity holds in relation to the Hokulea.
-
B.
roleInHumanHistory
chosen
Indicates the function, influence, or significance that an entity has had within the course of human history.
-
C.
roleAtPearlHarbor
Indicates the specific role, position, or function an entity held in relation to the events at Pearl Harbor.
-
D.
hasHawaiianName
Indicates that an entity possesses a name in the Hawaiian language.
-
E.
hasNamesakeRoleInHistory
Indicates that an entity has a historical role or position that is the same as, or named after, another entity’s role in history.
- F. None of above.
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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00e025c81908cacfcfa0819c73f |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.