Triple

T242437
Position Surface form Disambiguated ID Type / Status
Subject The Beggar's Opera E4960 entity
Predicate hasMainCharacter P1183 FINISHED
Object Macheath
Macheath is the charming yet roguish highwayman and anti-hero central to John Gay’s satirical ballad opera "The Beggar’s Opera."
E31021 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: Macheath | Statement: [The Beggar's Opera, hasMainCharacter, Macheath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macheath
Context triple: [The Beggar's Opera, hasMainCharacter, Macheath]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Seamus
    Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
  • C. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • D. Maeslantkering
    Maeslantkering is a massive movable storm surge barrier in the Netherlands that protects the low-lying Rotterdam region from North Sea flooding.
  • E. Fingallian
    Fingallian was an extinct Anglic language variety once spoken in the Fingal region of Ireland, showing strong influence from both Old and Middle English as well as Irish.
  • 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: Macheath
Triple: [The Beggar's Opera, hasMainCharacter, Macheath]
Generated description
Macheath is the charming yet roguish highwayman and anti-hero central to John Gay’s satirical ballad opera "The Beggar’s Opera."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Macheath
Target entity description: Macheath is the charming yet roguish highwayman and anti-hero central to John Gay’s satirical ballad opera "The Beggar’s Opera."
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Seamus
    Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
  • C. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • D. Maeslantkering
    Maeslantkering is a massive movable storm surge barrier in the Netherlands that protects the low-lying Rotterdam region from North Sea flooding.
  • E. Fingallian
    Fingallian was an extinct Anglic language variety once spoken in the Fingal region of Ireland, showing strong influence from both Old and Middle English as well as Irish.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36961e5688190b3a1ff61bb06233c completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a369de04048190b2dc01cc328e644d completed Feb. 28, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69a36a48d5a88190a727fec1c25a1d5b completed Feb. 28, 2026, 10:20 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.