Triple
T8199685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Wave |
E191536
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Riptide the Pelican |
E191541
|
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: Riptide the Pelican | Statement: [Green Wave, mascot, Riptide the Pelican]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riptide the Pelican Context triple: [Green Wave, mascot, Riptide the Pelican]
-
A.
Riptide the Pelican
chosen
Riptide the Pelican is the energetic and costumed pelican mascot that represents Tulane University at athletic events and campus activities.
-
B.
Pelican
Pelican was the English galleon originally commanded by Sir Francis Drake on his circumnavigation voyage, later renamed the Golden Hind.
-
C.
Wing
Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
-
D.
Wing
Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
-
E.
Short Seamew
The Short Seamew was a British carrier-borne anti-submarine aircraft developed in the 1950s, known for its distinctive high-wing design and ultimately unsuccessful service career.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df565dc819099537fc06b694b40 |
completed | March 31, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedbc9840819089255e93d8119350 |
completed | April 1, 2026, 10:04 a.m. |
Created at: March 30, 2026, 5:43 p.m.