Triple
T21408562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharks |
E528105
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Razor the Shark |
—
|
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: Razor the Shark | Statement: [Sharks, mascot, Razor the Shark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Razor the Shark Context triple: [Sharks, mascot, Razor the Shark]
-
A.
Razor the Shark
chosen
Razor the Shark is the official athletic mascot of Nova Southeastern University, representing the school's sports teams and campus spirit.
-
B.
Mr. Shark
Mr. Shark is a comedic, disguise-loving great white shark and member of the reformed criminal crew in the animated franchise "The Bad Guys."
-
C.
Tark the Shark
Tark the Shark is the famous nickname of Hall of Fame college basketball coach Jerry Tarkanian, known for his successful and often controversial tenure at UNLV.
-
D.
The Shark
"The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
-
E.
The Shark
The Shark is the nickname of Australian professional golfer Greg Norman, renowned for his aggressive playing style and dominance in the sport during the 1980s and 1990s.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b316a48190ad43394dc35a54e0 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:33 p.m.