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.