Triple

T2850669
Position Surface form Disambiguated ID Type / Status
Subject University of Bath E63082 entity
Predicate hasMascot P52 FINISHED
Object Roman the Bear
Roman the Bear is the official mascot of the University of Bath, typically depicted as a friendly bear symbolizing the university’s spirit and community.
 E303099 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: Roman the Bear | Statement: [University of Bath, hasMascot, Roman the Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roman the Bear
Context triple: [University of Bath, hasMascot, Roman the Bear]
  • A. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • B. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • C. Carlton the Bear
    Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
  • D. Лев
    Лев — это мужское русское имя, происходящее от латинского слова «leo» и традиционно ассоциирующееся со значением «лев».
  • E. Leoneg
    Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
  • 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: Roman the Bear
Triple: [University of Bath, hasMascot, Roman the Bear]
Generated description
Roman the Bear is the official mascot of the University of Bath, typically depicted as a friendly bear symbolizing the university’s spirit and community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roman the Bear
Target entity description: Roman the Bear is the official mascot of the University of Bath, typically depicted as a friendly bear symbolizing the university’s spirit and community.
  • A. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • B. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • C. Carlton the Bear
    Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
  • D. Лев
    Лев — это мужское русское имя, происходящее от латинского слова «leo» и традиционно ассоциирующееся со значением «лев».
  • E. Leoneg
    Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf437328819098506ec8a3a23e11 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e23694819089b38a10e1bc2f03 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afea2358b88190a91ef389f5a98cea completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b0035854e88190a8750b3291aa41c4 completed March 10, 2026, 11:41 a.m.
Created at: March 6, 2026, 10:02 p.m.