Triple

T7394069
Position Surface form Disambiguated ID Type / Status
Subject Intuit E170576 entity
Predicate notableProduct P1448 FINISHED
Object Mint
Mint is a popular personal finance management service and app that helps users track spending, budgets, and financial accounts in one place.
 E662029 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: Mint | Statement: [Intuit, notableProduct, Mint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mint
Context triple: [Intuit, notableProduct, Mint]
  • A. Lima Mint
    Lima Mint was a major Spanish colonial mint in Lima, Peru, known for producing silver coins such as the famous pieces of eight during the colonial era.
  • B. The Mint
    The Mint is a posthumously published autobiographical work by T. E. Lawrence that candidly chronicles his experiences and observations while serving as an enlisted airman in the Royal Air Force.
  • C. Doublemint
    Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
  • D. Peppermint
    Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
  • E. Betano
    Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
  • 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: Mint
Triple: [Intuit, notableProduct, Mint]
Generated description
Mint is a popular personal finance management service and app that helps users track spending, budgets, and financial accounts in one place.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mint
Target entity description: Mint is a popular personal finance management service and app that helps users track spending, budgets, and financial accounts in one place.
  • A. Lima Mint
    Lima Mint was a major Spanish colonial mint in Lima, Peru, known for producing silver coins such as the famous pieces of eight during the colonial era.
  • B. The Mint
    The Mint is a posthumously published autobiographical work by T. E. Lawrence that candidly chronicles his experiences and observations while serving as an enlisted airman in the Royal Air Force.
  • C. Doublemint
    Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
  • D. Peppermint
    Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
  • E. Betano
    Betano is an international online sports betting and gaming brand known for sponsoring major football clubs and sporting events.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2263b48819089319a2a2f0d3357 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810f82ba08190919924b0994a2eee completed March 28, 2026, 5:33 p.m.
NEDg Description generation batch_69c811f1fe3c8190a591186b19044b5f completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c812c1e9d08190b0e7f052d87011b9 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:09 p.m.