Triple
T16187111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Blue |
E392834
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Big Blue |
unclear NED1
|
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 Blue, shortName, Big Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Blue Context triple: [Big Blue, shortName, Big Blue]
-
A.
Big Blue
Big Blue is the costumed bull mascot that represents Utah State University's athletic teams and school spirit.
-
B.
Big Blue
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 lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
-
D.
Big Blue
Big Blue is the official athletic mascot representing Millikin University’s sports teams.
-
E.
Big Blue
Big Blue is a fast-paced, futuristic racetrack set over an ocean in the F-Zero series, known for its high-speed turns and iconic music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e220630db481908a0c7f7170f20c5f |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0550b48190ac84946b7254552b |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.