Triple

T9684088
Position Surface form Disambiguated ID Type / Status
Subject Cornell Big Red E234360 entity
Predicate hasNickname P39 FINISHED
Object Big Red E136572 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 Red | Statement: [Cornell Big Red, hasNickname, Big Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Red
Context triple: [Cornell Big Red, hasNickname, Big Red]
  • A. Big Red chosen
    Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
  • B. Big Red
    Big Red is the furry, red, amorphous costumed mascot of Western Kentucky University, known for its energetic antics and unique, cartoonish appearance.
  • C. Big Red
    Big Red is the nickname of the former St. Louis Cardinals NFL franchise, known for its red uniforms and long, often struggling history before relocating and becoming the Arizona Cardinals.
  • D. Big Red
    Big Red is the costumed cardinal bird who serves as the energetic and recognizable mascot for the NFL’s Arizona Cardinals.
  • E. Big Red
    Big Red is the nickname and mascot representing Denison University's athletic teams and school spirit.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ccf21a08190a1302b933b9e50be completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19106e67881909505287620d2f781 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.