Triple

T28082109
Position Surface form Disambiguated ID Type / Status
Subject Woody Johnson E709708 entity
Predicate representedToCountry P1159 FINISHED
Object United Kingdom 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: United Kingdom | Statement: [Woody Johnson, representedToCountry, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representedToCountry
Context triple: [Woody Johnson, representedToCountry, United Kingdom]
  • A. countryRepresented
    Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
  • B. nationalityRepresented chosen
    Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
  • C. portrayedByCountryOfCitizenship
    Indicates that the subject is depicted or represented by an individual whose country of citizenship is the specified country.
  • D. representedTo
    Indicates that one entity formally acted on behalf of or served as the representative of another entity in a given context or interaction.
  • E. countryRepresenting
    Indicates that one entity serves as the official representative or acting country on behalf of another entity in a given context.
  • F. None of above.

Provenance (3 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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: April 27, 2026, 8:52 p.m.