Triple

T807422
Position Surface form Disambiguated ID Type / Status
Subject Marianna, Florida E17469 entity
Predicate namedFor P63 FINISHED
Object Mary Ann
Mary Ann is the namesake of the city of Marianna in Florida.
E96798 NE FINISHED

How this triple was built (4 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: Mary Ann | Statement: [Marianna, Florida, namedFor, Mary Ann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Ann
Context triple: [Marianna, Florida, namedFor, Mary Ann]
  • A. Abigail
    Abigail is a feminine given name of Hebrew origin meaning "my father is joy," historically popular in English-speaking countries.
  • B. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • C. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • D. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • E. Harriet Pitt
    Harriet Pitt was an 18th-century British actress and the daughter of statesman William Pitt the Elder.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary Ann
Triple: [Marianna, Florida, namedFor, Mary Ann]
Generated description
Mary Ann is the namesake of the city of Marianna in Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Ann
Target entity description: Mary Ann is the namesake of the city of Marianna in Florida.
  • A. Abigail
    Abigail is a feminine given name of Hebrew origin meaning "my father is joy," historically popular in English-speaking countries.
  • B. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • C. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • D. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • E. Harriet Pitt
    Harriet Pitt was an 18th-century British actress and the daughter of statesman William Pitt the Elder.
  • F. None of above. chosen

Provenance (5 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab23862c8190bfd6558936c58410 completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d83cf448190a2205cd777386833 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a77fca11a88190ac74840fc6678cc4 completed March 4, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_69a7805555388190a22fa3000eb2a717 completed March 4, 2026, 12:44 a.m.
Created at: March 1, 2026, 7:38 p.m.