Triple

T3864027
Position Surface form Disambiguated ID Type / Status
Subject Maya Angelou E91806 entity
Predicate givenName P17 FINISHED
Object Marguerite E110139 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: Marguerite | Statement: [Maya Angelou, givenName, Marguerite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marguerite
Context triple: [Maya Angelou, givenName, Marguerite]
  • A. Marguerite chosen
    Marguerite is a French given name, equivalent to Margaret, commonly used for women and also meaning "daisy" in French.
  • B. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • C. Marguerite Courtot
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • D. Rose and Marguerite
    Rose and Marguerite are the paired flowers that symbolize Saint Lucia’s cultural heritage and serve as its national floral emblem.
  • E. Marguerite and Armand
    Marguerite and Armand is a one-act ballet choreographed by Frederick Ashton to Liszt’s piano music, inspired by Alexandre Dumas fils’ “La Dame aux Camélias” and originally created for Margot Fonteyn and Rudolf Nureyev.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3871d881909c6c8e6d08203801 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5123ad9188190a158721a6192cdae completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.