Triple
T17898230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalani Brown |
E447489
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kalani |
—
|
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: Kalani | Statement: [Kalani Brown, givenName, Kalani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalani Context triple: [Kalani Brown, givenName, Kalani]
-
A.
Kalani
chosen
Kalani is a given name most notably associated with American professional basketball player Kalani Brown.
-
B.
Kalani Iki
Kalani Iki is a residential neighborhood located in the East Honolulu area on the island of Oahu, Hawaii.
-
C.
Kaʻala
Kaʻala is the Hawaiian name for Mount Kaʻala, the highest peak on the island of Oʻahu.
-
D.
Makena
Makena is a coastal area on the island of Maui in Hawaii, known for its scenic beaches, clear waters, and relatively undeveloped natural landscape.
-
E.
Makena
Makena is a feminine given name of Hawaiian origin meaning "abundance" or "many gathered."
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d8122b481909992356f3f575858 |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.