Triple

T878665
Position Surface form Disambiguated ID Type / Status
Subject North Carolina State University E18976 entity
Predicate mascot P52 FINISHED
Object Mrs. Wuf E103296 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: Mrs. Wuf | Statement: [North Carolina State University, mascot, Mrs. Wuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Wuf
Context triple: [North Carolina State University, mascot, Mrs. Wuf]
  • A. Mr. Wuf chosen
    Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Jingjing
    Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
  • D. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • E. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01d1a7081909da3d8b2aadaed6f completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.