Triple

T275278
Position Surface form Disambiguated ID Type / Status
Subject Vanderbilt University E5232 entity
Predicate hasMascot P52 FINISHED
Object Mr. Commodore
Mr. Commodore is the costumed naval-themed mascot representing Vanderbilt University's athletic teams, the Commodores.
E35901 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: Mr. Commodore | Statement: [Vanderbilt University, hasMascot, Mr. Commodore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Commodore
Context triple: [Vanderbilt University, hasMascot, Mr. Commodore]
  • A. Major Tuddy
    Major Tuddy is the hog-themed official mascot of the NFL’s Washington Commanders, designed to reflect the franchise’s historic “Hogs” offensive line tradition.
  • B. Bertram
    Bertram is a masculine given name of Germanic origin, historically associated with nobility and later borne by various notable figures in arts, architecture, and literature.
  • C. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • D. Alfred
    Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • 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: Mr. Commodore
Triple: [Vanderbilt University, hasMascot, Mr. Commodore]
Generated description
Mr. Commodore is the costumed naval-themed mascot representing Vanderbilt University's athletic teams, the Commodores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Commodore
Target entity description: Mr. Commodore is the costumed naval-themed mascot representing Vanderbilt University's athletic teams, the Commodores.
  • A. Major Tuddy
    Major Tuddy is the hog-themed official mascot of the NFL’s Washington Commanders, designed to reflect the franchise’s historic “Hogs” offensive line tradition.
  • B. Bertram
    Bertram is a masculine given name of Germanic origin, historically associated with nobility and later borne by various notable figures in arts, architecture, and literature.
  • C. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • D. Alfred
    Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
  • E. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd1cdf881909c2c9b77b7f88684 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a391506e2881909fa399aab00d3ac9 completed March 1, 2026, 1:07 a.m.
NEDg Description generation batch_69a391bb35bc8190b0c84968c156439b completed March 1, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_69a39217ae2c819082fef73a105edf7d completed March 1, 2026, 1:10 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.