Triple

T13954916
Position Surface form Disambiguated ID Type / Status
Subject Thomas Truxtun E335628 entity
Predicate roleDuringAmericanRevolution P40545 FINISHED
Object privateer captain against British shipping 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: privateer captain against British shipping | Statement: [Thomas Truxtun, roleDuringAmericanRevolution, privateer captain against British shipping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleDuringAmericanRevolution
Context triple: [Thomas Truxtun, roleDuringAmericanRevolution, privateer captain against British shipping]
  • A. roleInAmericanRevolution chosen
    Indicates that an entity had a specific role, position, or involvement in events or activities related to the American Revolution.
  • B. roleInColonies
    Indicates the specific function, position, or responsibility an entity holds within one or more colonies.
  • C. roleInBattleOfBennington
    Indicates the specific role or involvement an entity had in the Battle of Bennington.
  • D. economicRoleBeforeCivilWar
    Indicates the economic function or position an entity held prior to the outbreak of the Civil War.
  • E. independenceEraRole
    Indicates the role or position an entity held during a historical period of struggle for independence.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69de05a3ccf88190b45c742db483fa08 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:17 p.m.