Triple

T881871
Position Surface form Disambiguated ID Type / Status
Subject George Armistead E19043 entity
Predicate familyName P18 FINISHED
Object Armistead E19043 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: Armistead | Statement: [George Armistead, familyName, Armistead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armistead
Context triple: [George Armistead, familyName, Armistead]
  • A. Robert Hooks
    Robert Hooks is an American actor, producer, and civil rights activist known for his pioneering roles in film, television, and theater, particularly during the 1960s and 1970s.
  • B. Nicholas Bayard
    Nicholas Bayard was a prominent 17th-century New York colonial official and landowner, known for his influential role in early New Amsterdam politics and society.
  • C. Marshal Tallard
    Marshal Tallard was a French general and marshal of France best known for commanding French forces and being captured during the War of the Spanish Succession.
  • D. Banastre Tarleton
    Banastre Tarleton was a British cavalry officer and politician best known for his aggressive and controversial leadership against American forces during the Revolutionary War.
  • E. George Armistead chosen
    George Armistead was a U.S. Army officer best known for commanding Fort McHenry during the War of 1812, where the American defense inspired the writing of “The Star-Spangled Banner.”
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accc863c8190be9e5350732c30b1 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85883c481909261bde7fdebcde1 completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.