Triple

T5556070
Position Surface form Disambiguated ID Type / Status
Subject Albert Parker E145643 entity
Predicate basedInLaterCareer P19158 FINISHED
Object London E1817 NE FINISHED

How this triple was built (3 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: London | Statement: [Albert Parker, basedInLaterCareer, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London
Context triple: [Albert Parker, basedInLaterCareer, London]
  • A. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • B. London, England chosen
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • C. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • D. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • E. Λούγδουνον
    Λούγδουνον is the ancient Greek name for Lugdunum, the major Roman city that developed into modern-day Lyon in France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedInLaterCareer
Context triple: [Albert Parker, basedInLaterCareer, London]
  • A. laterCareer chosen
    Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
  • B. partOfCareer
    Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
  • C. managedCareerOf
    Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
  • D. spentEntireCareerWith
    Indicates that an individual has worked exclusively for a single organization or team for the full duration of their professional career.
  • E. roleAfterRetirement
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • F. None of above.

Provenance (4 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffc5e7c81908e1c454d3bfd357b completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0277e577481909f1559082e482995 completed March 22, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69c01b10bbf8819098655839c03b7832 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.