Triple

T16381198
Position Surface form Disambiguated ID Type / Status
Subject Frances M. Guiteau E397809 entity
Predicate familyName P18 FINISHED
Object Guiteau E391693 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: Guiteau | Statement: [Frances M. Guiteau, familyName, Guiteau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guiteau
Context triple: [Frances M. Guiteau, familyName, Guiteau]
  • A. Guiteau chosen
    Guiteau is the surname of Charles J. Guiteau, the American lawyer and assassin who killed U.S. President James A. Garfield in 1881.
  • B. The Delaplaine
    The Delaplaine is a community-focused arts center in Frederick, Maryland, offering art exhibitions, classes, and cultural programs for all ages.
  • C. Hampteau
    Hampteau is a small village in the Walloon municipality of Hotton in the province of Luxembourg, Belgium.
  • D. Chouteau
    Chouteau is a French-origin surname notably associated with a prominent fur-trading and founding family in early St. Louis and the American Midwest.
  • E. Houlle
    Houlle is a small commune in northern France’s Pas-de-Calais department, known for its rural character and traditional French countryside setting.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319dd0e0c8190812bde6a2f7d9644 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035689ef08190ba980a359498ca56 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.