Triple

T15110062
Position Surface form Disambiguated ID Type / Status
Subject Baxter the Bearcat E360886 entity
Predicate shortName P43 FINISHED
Object Baxter
Baxter is the costumed bearcat mascot associated with athletic teams at Northwest Missouri State University.
 E1138893 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: Baxter | Statement: [Baxter the Bearcat, shortName, Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baxter
Context triple: [Baxter the Bearcat, shortName, Baxter]
  • A. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Baxter
    Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
  • C. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • D. Baxter
    Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
  • E. Baxter
    Baxter is a collaborative industrial robot developed by Rethink Robotics, designed to safely work alongside humans in manufacturing and research environments.
  • 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: Baxter
Triple: [Baxter the Bearcat, shortName, Baxter]
Generated description
Baxter is the costumed bearcat mascot associated with athletic teams at Northwest Missouri State University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baxter
Target entity description: Baxter is the costumed bearcat mascot associated with athletic teams at Northwest Missouri State University.
  • A. Baxter
    Baxter is the central protagonist of the British television series "Mad Dogs," around whom the show's darkly comic crime-driven plot revolves.
  • B. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • C. Baxter
    Baxter is a collaborative industrial robot developed by Rethink Robotics, designed to safely work alongside humans in manufacturing and research environments.
  • D. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • E. Baxter
    Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eb139c8190b76393e4a8be576b completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb9f7b6d88190886fd65ce736ed1b completed May 9, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69febaa20ffc819090dd4b113d8513d7 completed May 9, 2026, 4:40 a.m.
Created at: April 10, 2026, 3:05 a.m.