Triple

T35094987
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Bulstrode E1012842 entity
Predicate formerBusinessPartner P202002 FINISHED
Object John Raffles NE NERFINISHED

How this triple was built (2 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: John Raffles | Statement: [Nicholas Bulstrode, formerBusinessPartner, John Raffles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerBusinessPartner
Context triple: [Nicholas Bulstrode, formerBusinessPartner, John Raffles]
  • A. businessPartner
    Indicates a formal collaborative relationship between two entities that work together in a business context, typically sharing responsibilities, risks, or benefits.
  • B. laterBusinessPartner
    Indicates that one entity became a business partner of another at a later point in time, after some prior relationship or period.
  • C. formerPartner
    Indicates that one entity was previously in a romantic or partnership relationship with another entity, but that relationship has since ended.
  • D. tradingPartner
    Indicates a relationship where two entities engage in the exchange of goods, services, or financial instruments with one another.
  • E. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • F. None of above. chosen

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_69f76dd432ec8190969bc32acfc152b1 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a0042524d8c8190884a10fce669ae95 completed May 10, 2026, 8:31 a.m.
PD Predicate disambiguation batch_6a0041e89bd881909e32764699bcb89b completed May 10, 2026, 8:29 a.m.
PDg Predicate description generation batch_6a004251a1308190aa523d5365eeb9f7 completed May 10, 2026, 8:31 a.m.
Created at: May 3, 2026, 4:01 p.m.