Triple

T4097609
Position Surface form Disambiguated ID Type / Status
Subject Lafayette E87859 entity
Predicate familyName P18 FINISHED
Object de La Fayette E11904 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: de La Fayette | Statement: [Lafayette, familyName, de La Fayette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de La Fayette
Context triple: [Lafayette, familyName, de La Fayette]
  • A. Marquis de Lafayette chosen
    Marquis de Lafayette was a French aristocrat and military officer who became a key ally of the American Revolution and later an influential figure in the French Revolution.
  • B. LaFayette
    LaFayette is a small city in northwest Georgia, United States, known historically for its location in a gold-bearing region and its proximity to the Appalachian foothills.
  • C. Michael Fournier
    Michael Fournier is an American local politician who serves as the mayor of Royal Oak, Michigan.
  • D. George Germain
    George Germain, 1st Viscount Sackville, was a British soldier and statesman best known for serving as Secretary of State for the American Department during the American Revolutionary War.
  • E. Georges Washington de Lafayette
    Georges Washington de Lafayette was the son of the famed French Revolutionary War hero the Marquis de Lafayette, who served as a French military officer and politician during the turbulent years of the French Revolution and Napoleonic era.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefce017708190a4d33753fd32a7bb completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a83aaabc81908a204008ebe292b2 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:40 p.m.