Triple

T2493447
Position Surface form Disambiguated ID Type / Status
Subject Montgomery Biscuits E52098 entity
Predicate mascot P52 FINISHED
Object Big Mo
Big Mo is the fuzzy, orange, biscuit-loving mascot of the Montgomery Biscuits minor league baseball team, known for entertaining fans at their games.
 E273489 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: Big Mo | Statement: [Montgomery Biscuits, mascot, Big Mo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Mo
Context triple: [Montgomery Biscuits, mascot, Big Mo]
  • A. Mighty Mo
    Mighty Mo is the famous nickname of the USS Missouri, a U.S. Navy battleship best known as the site of Japan’s formal surrender in World War II.
  • B. Big Bub
    Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
  • C. The Big Bam
    The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
  • D. Big Al
    Big Al is the costumed elephant mascot who represents the University of Alabama at athletic events and school functions.
  • E. Jumbo
    Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
  • 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: Big Mo
Triple: [Montgomery Biscuits, mascot, Big Mo]
Generated description
Big Mo is the fuzzy, orange, biscuit-loving mascot of the Montgomery Biscuits minor league baseball team, known for entertaining fans at their games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Big Mo
Target entity description: Big Mo is the fuzzy, orange, biscuit-loving mascot of the Montgomery Biscuits minor league baseball team, known for entertaining fans at their games.
  • A. Mighty Mo
    Mighty Mo is the famous nickname of the USS Missouri, a U.S. Navy battleship best known as the site of Japan’s formal surrender in World War II.
  • B. Big Bub
    Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
  • C. The Big Bam
    The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
  • D. Big Al
    Big Al is the costumed elephant mascot who represents the University of Alabama at athletic events and school functions.
  • E. Jumbo
    Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd192cad08190b13bf8e2d7149199 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f93a29081908de1107bf0f96647 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af213dd1dc8190ae05fd58b9a4487b completed March 9, 2026, 7:36 p.m.
NED2 Entity disambiguation (via description) batch_69af220603308190904e2e28ecb3ad09 completed March 9, 2026, 7:39 p.m.
Created at: March 6, 2026, 9:45 p.m.