Triple

T2699278
Position Surface form Disambiguated ID Type / Status
Subject Mary Church Terrell E59190 entity
Predicate middleName P143 FINISHED
Object Eliza E228419 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: Eliza | Statement: [Mary Church Terrell, middleName, Eliza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliza
Context triple: [Mary Church Terrell, middleName, Eliza]
  • A. Eliza chosen
    Eliza is a feminine given name of Hebrew origin, often considered a shortened form of Elizabeth and commonly used in English-speaking countries.
  • B. Eliza Harris
    Eliza Harris is a courageous enslaved woman in Harriet Beecher Stowe's novel "Uncle Tom's Cabin," best known for her dramatic escape across the frozen Ohio River to save her child from being sold.
  • C. Louisa
    Louisa is a fictional character from Jean Toomer’s modernist work "Cane," representing themes of love, memory, and the complexities of African American life in the early 20th-century South.
  • D. Louisa
    Louisa is the middle name of Katharine Louisa Stanley, a 19th-century English writer and member of the prominent Stanley family.
  • E. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda339cf48190b9ae6b99137f005e completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbba22348190a3f70439a6b21e1c completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.