Triple

T7361733
Position Surface form Disambiguated ID Type / Status
Subject John Burgoyne E169764 entity
Predicate reputationAfterSaratoga P56376 FINISHED
Object criticized in Britain LITERAL FINISHED

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: criticized in Britain | Statement: [John Burgoyne, reputationAfterSaratoga, criticized in Britain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reputationAfterSaratoga
Context triple: [John Burgoyne, reputationAfterSaratoga, criticized in Britain]
  • A. laterReputation chosen
    Indicates that an entity’s reputation or status at a later time is being referred to in relation to an earlier point or context.
  • B. militaryReputation
    Indicates the perceived standing or esteem of an entity based on its past or present military performance, conduct, or capabilities.
  • C. tacticalReputation
    Indicates the perceived level of skill, reliability, or effectiveness an entity has in planning and executing tactics within a given context.
  • D. roleAfterWar
    Indicates the role or position an entity assumes following the end of a war or armed conflict.
  • E. championshipReputation
    Indicates the recognized status or esteem an entity holds based on its history of success or performance in championships or major competitive titles.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f26d6d6081909c7272a9ccae0d97 completed March 27, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69c6f02d36108190bcb34a95e6a30bd7 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:06 p.m.