Triple

T1999844
Position Surface form Disambiguated ID Type / Status
Subject easyGroup E43442 entity
Predicate ownsBrand P1500 FINISHED
Object easyMoney
easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
 E223787 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: easyMoney | Statement: [easyGroup, ownsBrand, easyMoney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: easyMoney
Context triple: [easyGroup, ownsBrand, easyMoney]
  • A. Easy Money
    "Easy Money" is a song featured on Bruce Springsteen's 2012 rock album *Wrecking Ball*.
  • B. EZY
    EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
  • C. Easy
    "Easy" is a song by Joanna Newsom from her 2010 triple album *Have One on Me*, noted for its intricate harp arrangements and poetic lyrics.
  • D. Short Money
    Short Money is a system of public funding in the United Kingdom that provides financial support to opposition parties in Parliament to help them carry out their parliamentary duties.
  • E. Easy A
    Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
  • 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: easyMoney
Triple: [easyGroup, ownsBrand, easyMoney]
Generated description
easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: easyMoney
Target entity description: easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
  • A. Easy Money
    "Easy Money" is a song featured on Bruce Springsteen's 2012 rock album *Wrecking Ball*.
  • B. EZY
    EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
  • C. Easy
    "Easy" is a song by Joanna Newsom from her 2010 triple album *Have One on Me*, noted for its intricate harp arrangements and poetic lyrics.
  • D. Short Money
    Short Money is a system of public funding in the United Kingdom that provides financial support to opposition parties in Parliament to help them carry out their parliamentary duties.
  • E. Easy A
    Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87f78f0819098e787a5f3e062fd completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae034122ec819096a72685b34c84b9 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03b5e294819093b20fdc95f653db completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0475dd448190939620c5400eea16 completed March 8, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:37 p.m.