Triple

T15466316
Position Surface form Disambiguated ID Type / Status
Subject Bell Cup E372038 entity
Predicate hasCourse P6650 FINISHED
Object Big Blue
Big Blue is a race course featured in the Mario Kart series, known for its high-speed, anti-gravity track set in a futuristic F-Zero-inspired environment.
 E1153845 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: [Bell Cup, hasCourse, Big Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Blue
Context triple: [Bell Cup, hasCourse, 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 lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
  • D. Big Blue
    Big Blue is the costumed bull mascot that represents Utah State University's athletic teams and school spirit.
  • E. Big Blue
    Big Blue is the official athletic mascot representing Millikin University’s sports teams.
  • 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: [Bell Cup, hasCourse, Big Blue]
Generated description
Big Blue is a race course featured in the Mario Kart series, known for its high-speed, anti-gravity track set in a futuristic F-Zero-inspired environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Big Blue
Target entity description: Big Blue is a race course featured in the Mario Kart series, known for its high-speed, anti-gravity track set in a futuristic F-Zero-inspired environment.
  • A. Big Blue chosen
    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.
  • B. Big Blue
    Big Blue is a notable episode of the BBC nature documentary series "Blue Planet II" that focuses on the vast ecosystems and wildlife of the open ocean.
  • C. Big Blue
    Big Blue is the costumed bull mascot that represents Utah State University's athletic teams and school spirit.
  • D. Big Blue
    Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
  • E. Big Blue
    Big Blue is the official athletic mascot representing Millikin University’s sports teams.
  • F. None of above.

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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:33 a.m.