Triple

T16037377
Position Surface form Disambiguated ID Type / Status
Subject Jeff Tedford E389002 entity
Predicate roleAtWashingtonState P121700 FINISHED
Object offensive assistant 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: offensive assistant | Statement: [Jeff Tedford, roleAtWashingtonState, offensive assistant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleAtWashingtonState
Context triple: [Jeff Tedford, roleAtWashingtonState, offensive assistant]
  • A. roleAtVirginia
    Indicates that an entity holds or held a specific role or position at an institution or organization in Virginia.
  • B. roleAtD.C.United
    Indicates that an entity holds or held a specific role or position within the D.C. United soccer organization.
  • C. ethnicRole
    Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
  • D. roleInStateFormation
    Indicates that an entity played a contributing role in the process of establishing, consolidating, or transforming a state or political entity.
  • E. roleInFederalism
    Indicates the specific function, authority, or responsibility an entity holds within a federal system of divided and shared governance.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1826f34c081908005bb736f1c485d completed April 17, 2026, 12:44 a.m.
PDg Predicate description generation batch_69e1ff5cd7e481908a29214139a3de2e completed April 17, 2026, 9:37 a.m.
Created at: April 10, 2026, 4:56 a.m.