Triple
T15246901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waves |
E364405
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Willy the Wave |
E364404
|
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: Willy the Wave | Statement: [Waves, mascot, Willy the Wave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willy the Wave Context triple: [Waves, mascot, Willy the Wave]
-
A.
Willie the Wave
chosen
Willie the Wave is the anthropomorphic wave mascot representing Pepperdine University's athletic teams and school spirit.
-
B.
Willie the Whale
Willie the Whale is a fictional singing whale from the Disney short "The Whale Who Wanted to Sing at the Met," known for his operatic voice and tragic, whimsical story.
-
C.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
-
D.
Ocean Child
Ocean Child is the English translation of the Hawaiian name "Kilo Moana," used for the University of Hawaiʻi’s oceanographic research vessel.
-
E.
Wavey Davey
Wavey Davey is the swaggering, fictional alter ego persona adopted by Dave Bayley of Glass Animals in the song "Tokyo Drifting."
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd491cd881908bad9660af9b6b8f |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.