Triple
T21176391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punahou School |
E521822
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Buffanblu |
—
|
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: Buffanblu | Statement: [Punahou School, mascot, Buffanblu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buffanblu Context triple: [Punahou School, mascot, Buffanblu]
-
A.
Buffanblu
chosen
Buffanblu is the distinctive nickname and mascot identity representing the athletic teams of Punahou School in Honolulu, Hawaii.
-
B.
Bluder
Bluder is a surname most notably associated with Lisa Bluder, the longtime head coach of the University of Iowa women's basketball team.
-
C.
Blu
Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
-
D.
Blu
Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
-
E.
Blu
Blu is a popular electronic cigarette and vaping brand known for its range of rechargeable and disposable e-cigarette products.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730197cfc8190bde13453b761886b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3 p.m.