Triple
T3927581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Blues |
E93312
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Big Blue |
E91941
|
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: Big Blue | Statement: [Big Blues, mascot, Big Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Blue Context triple: [Big Blues, mascot, Big Blue]
-
A.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
B.
Big Blue
chosen
Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
-
C.
Big Blue
Big Blue is the popular nickname of the Canadian Football League team the Winnipeg Blue Bombers.
-
D.
The Big Blue
The Big Blue is a 1988 French film by Luc Besson that follows the intense rivalry and friendship between two champion free divers against the backdrop of the Mediterranean Sea.
-
E.
Rainbow
Rainbow was a British hard rock band formed in the mid-1970s by guitarist Ritchie Blackmore, known for its neoclassical metal sound and influential albums like "Rising."
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda4f9d481908dda1b5a826ab64d |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52878184c8190980af506bb03d5db |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:23 p.m.