Triple
T22529376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaiian mythology |
E556992
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Lono |
—
|
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: Lono | Statement: [Hawaiian mythology, hasDeity, Lono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lono Context triple: [Hawaiian mythology, hasDeity, Lono]
-
A.
Lono
chosen
Lono is a principal Hawaiian god associated with agriculture, fertility, rainfall, and the Makahiki harvest festival.
-
B.
Lono
Lono is a violent, psychopathic enforcer and one of the central, most feared members of the Minutemen in the crime comic series "100 Bullets."
-
C.
ʻAiea
ʻAiea is a suburban community on the island of Oʻahu in Hawaii, located near Pearl Harbor and known for its residential neighborhoods and commercial centers.
-
D.
Hāla
Hāla was an ancient Indian king of the Satavahana dynasty traditionally credited with composing the Prakrit love-poem anthology Gaha Sattasai.
-
E.
Kaiolohia
Kaiolohia, also known as Shipwreck Beach, is a remote, rugged stretch of coastline on the Hawaiian island of Lānaʻi noted for its offshore shipwrecks and scenic views.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed5b5d081909d927f8aee44b673 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.