Triple
T22683243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Moyne Dolphins |
E560836
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dolphins |
—
|
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: Dolphins | Statement: [Le Moyne Dolphins, nickname, Dolphins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolphins Context triple: [Le Moyne Dolphins, nickname, Dolphins]
-
A.
Dolphins
chosen
The Dolphins are the athletic teams representing California State University Channel Islands in intercollegiate sports.
-
B.
Dolphins
The Dolphins are a professional rugby league team based in Redcliffe, Queensland, competing in Australia's National Rugby League (NRL) competition.
-
C.
Dolphins
Dolphins are a South African domestic cricket team based in Durban that competes in the country’s professional provincial competitions.
-
D.
Dolphins
Dolphins are highly intelligent, social marine mammals known for their playful behavior, complex communication, and streamlined bodies adapted for fast swimming.
-
E.
Delfini
Delfini is the nickname of Italian football club Delfino Pescara 1936, reflecting the club’s dolphin-themed identity.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.