Triple

T12049256
Position Surface form Disambiguated ID Type / Status
Subject Helen Willis E286870 entity
Predicate neighborOf P350 FINISHED
Object George Jefferson E161495 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: George Jefferson | Statement: [Helen Willis, neighborOf, George Jefferson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Jefferson
Context triple: [Helen Willis, neighborOf, George Jefferson]
  • A. George Jefferson chosen
    George Jefferson is a fictional, outspoken, and ambitious African American dry-cleaning entrepreneur best known as the central character of the sitcom "The Jeffersons."
  • B. Randolph Jefferson
    Randolph Jefferson was an 18th-century Virginia planter and the younger brother of U.S. President Thomas Jefferson.
  • C. Peter Field Jefferson
    Peter Field Jefferson was a member of the prominent Jefferson family of colonial Virginia, known primarily as a descendant of planter and surveyor Peter Jefferson and a relative of U.S. President Thomas Jefferson.
  • D. George Madison
    George Madison was an American soldier and politician who served as the sixth governor of Kentucky in the early 19th century.
  • E. James Garrard
    James Garrard was an early American politician who served as the second governor of Kentucky in the late 18th and early 19th centuries.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.