Triple

T2910900
Position Surface form Disambiguated ID Type / Status
Subject Adventure Time E63679 entity
Predicate hasCharacter P2308 FINISHED
Object BMO
BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
 E309306 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: BMO | Statement: [Adventure Time, hasCharacter, BMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMO
Context triple: [Adventure Time, hasCharacter, BMO]
  • A. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • B. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • C. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • D. Barclay
    Barclay is a brand of cigarettes introduced by Brown & Williamson, known for its low-tar marketing and distinctive filter design.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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: BMO
Triple: [Adventure Time, hasCharacter, BMO]
Generated description
BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMO
Target entity description: BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
  • A. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • B. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • C. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • D. Barclay
    Barclay is a brand of cigarettes introduced by Brown & Williamson, known for its low-tar marketing and distinctive filter design.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ea0ae4819096f17d74072b0b78 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0561b8e6c8190be69fd39bdd19cca completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b060ac7c58819081f0882170869a8e completed March 10, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69b0619540cc8190971cd1a4c5c4b309 completed March 10, 2026, 6:23 p.m.
Created at: March 6, 2026, 10:11 p.m.