Triple

T9129872
Position Surface form Disambiguated ID Type / Status
Subject Dandridge family E219055 entity
Predicate hasMember P10 FINISHED
Object William Dandridge E281042 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: William Dandridge | Statement: [Dandridge family, hasMember, William Dandridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Dandridge
Context triple: [Dandridge family, hasMember, William Dandridge]
  • A. William Dandridge chosen
    William Dandridge was a member of the prominent colonial Virginia Dandridge family, known primarily as a relative of Martha Washington through his mother, Frances Jones Dandridge.
  • B. William Belton
    William Belton was the namesake of the city of Belton in Missouri, United States, likely a locally significant historical figure such as an early settler, landowner, or community leader.
  • C. William Humphries
    William Humphries is best known as the father of former NBA player Kris Humphries.
  • D. Samuel M. Ralston
    Samuel M. Ralston was an American Democratic politician who served as governor of Indiana and later as a U.S. senator in the early 20th century.
  • E. Grant Withers
    Grant Withers was an American film actor known for his prolific work in Hollywood from the silent era through the 1950s, often appearing in Westerns and crime dramas.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cdafb48190be5e62b15779d771 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.