Triple
T6615951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigham Young Cougars football team |
E149350
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object | Kalani Sitake |
E599833
|
NE 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: Kalani Sitake | Statement: [Brigham Young Cougars football team, headCoach, Kalani Sitake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalani Sitake Context triple: [Brigham Young Cougars football team, headCoach, Kalani Sitake]
-
A.
Kalani Sitake
chosen
Kalani Sitake is an American football coach best known as the head coach of Brigham Young University's BYU Cougars football program.
-
B.
Katiyana Mauga
Katiyana Mauga is a former University of Arizona power-hitting softball star known for her prolific home run totals and All-American collegiate career.
-
C.
Kalani
Kalani is a given name most notably associated with American professional basketball player Kalani Brown.
-
D.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
-
E.
Kāne Milohai
Kāne Milohai is a Hawaiian deity associated with creation and the heavens, recognized in some traditions as a divine relative of the volcano goddess Pele.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af57fd748190bb64f1965bab319f |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e443df8c8190b52ecac5a7e9fb09 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.