Triple

T44700
Position Surface form Disambiguated ID Type / Status
Subject Frederick Douglass E877 entity
Predicate givenName P17 FINISHED
Object Frederick E11931 NE 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: Frederick | Statement: [Frederick Douglass, givenName, Frederick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick
Context triple: [Frederick Douglass, givenName, Frederick]
  • A. Frederick chosen
    Frederick is a historic city in western Maryland known for its well-preserved downtown, Civil War heritage, and role as a regional cultural and economic center.
  • B. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • C. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • D. William
    William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • E. Frederick II of Prussia
    Frederick II of Prussia, also known as Frederick the Great, was an 18th-century Prussian king renowned for his military genius, enlightened absolutist rule, and transformation of Prussia into a major European power.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae36824819080e8336a3c9f9bf8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a291749c688190930934f54de48907 completed Feb. 28, 2026, 6:55 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.