Triple

T11038833
Position Surface form Disambiguated ID Type / Status
Subject Naperville North High School E260954 entity
Predicate mascot P52 FINISHED
Object Huskies
Huskies are a breed of energetic, thick-coated working dogs originally developed for pulling sleds in cold, snowy regions.
E114818 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: Huskies | Statement: [Naperville North High School, mascot, Huskies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huskies
Context triple: [Naperville North High School, mascot, Huskies]
  • A. Huskies
    Huskies is the nickname for the athletic teams representing Northeastern University in Boston, Massachusetts.
  • B. Huskies
    Huskies is the nickname for the University of Saskatchewan’s varsity athletic teams.
  • C. Huskies
    Huskies is the nickname for the University of Washington’s athletic teams, known especially for their prominent football program and strong presence in NCAA Division I sports.
  • D. Huskies
    Huskies is the nickname and mascot for Michigan Technological University’s men’s ice hockey team, representing the school in NCAA competition.
  • E. Husky
    The Husky is a hardy, thick-coated working dog breed originally developed in Arctic regions for pulling sleds and enduring extreme cold.
  • 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: Huskies
Triple: [Naperville North High School, mascot, Huskies]
Generated description
Huskies are a breed of energetic, thick-coated working dogs originally developed for pulling sleds in cold, snowy regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huskies
Target entity description: Huskies are a breed of energetic, thick-coated working dogs originally developed for pulling sleds in cold, snowy regions.
  • A. Huskies
    Huskies is the nickname for the athletic teams representing Northeastern University in Boston, Massachusetts.
  • B. Huskies
    Huskies is the nickname for the University of Saskatchewan’s varsity athletic teams.
  • C. Huskies
    Huskies is the nickname for the University of Washington’s athletic teams, known especially for their prominent football program and strong presence in NCAA Division I sports.
  • D. Huskies
    Huskies is the nickname and mascot for Michigan Technological University’s men’s ice hockey team, representing the school in NCAA competition.
  • E. Husky chosen
    The Husky is a hardy, thick-coated working dog breed originally developed in Arctic regions for pulling sleds and enduring extreme cold.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fe93b081909d58bfd4b42715f0 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1fff754819092d634f46fb42387 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.