Triple
T4526236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Dominion University |
E106183
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Big Blue
Big Blue is the lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
|
E450049
|
NE FINISHED |
How this triple was built (4 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: [Old Dominion University, hasMascot, Big Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Blue Context triple: [Old Dominion University, hasMascot, 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
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.
Mr. Blue Sky
"Mr. Blue Sky" is a 1977 upbeat, orchestral rock song by Electric Light Orchestra, widely recognized as one of the band’s signature and most enduring hits.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Big Blue Triple: [Old Dominion University, hasMascot, Big Blue]
Generated description
Big Blue is the lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Big Blue Target entity description: Big Blue is the lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
-
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
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.
Mr. Blue Sky
"Mr. Blue Sky" is a 1977 upbeat, orchestral rock song by Electric Light Orchestra, widely recognized as one of the band’s signature and most enduring hits.
- F. None of above. chosen
Provenance (5 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda44fcec48190a1430b4e74ec30fb |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda5b564648190ab2badb264910185 |
completed | March 20, 2026, 7:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda658568c8190bf97e4328e3799be |
completed | March 20, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.