Triple

T6899091
Position Surface form Disambiguated ID Type / Status
Subject Maynard Ferguson E159446 entity
Predicate spouse P13 FINISHED
Object Erma Ferguson
Erma Ferguson was the wife of renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
 E626960 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: Erma Ferguson | Statement: [Maynard Ferguson, spouse, Erma Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erma Ferguson
Context triple: [Maynard Ferguson, spouse, Erma Ferguson]
  • A. Erma Ora James
    Erma Ora James was the longtime wife of U.S. Senator Robert Byrd and a private figure who supported him throughout his extensive political career.
  • B. Marjorie Hearn
    Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
  • C. Betty Dahl
    Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
  • D. Ann Allen
    Ann Allen was an early 19th-century settler and the wife of Ann Arbor co-founder John Allen, for whom the city is believed to be named.
  • E. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • 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: Erma Ferguson
Triple: [Maynard Ferguson, spouse, Erma Ferguson]
Generated description
Erma Ferguson was the wife of renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erma Ferguson
Target entity description: Erma Ferguson was the wife of renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
  • A. Erma Ora James
    Erma Ora James was the longtime wife of U.S. Senator Robert Byrd and a private figure who supported him throughout his extensive political career.
  • B. Marjorie Hearn
    Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
  • C. Betty Dahl
    Betty Dahl was the wife of influential American political scientist Robert A. Dahl.
  • D. Ann Allen
    Ann Allen was an early 19th-century settler and the wife of Ann Arbor co-founder John Allen, for whom the city is believed to be named.
  • E. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95d67448190857f36b8115b03f6 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748eb23888190bca6e42dc03ab31b completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749b9f4048190b7f8564f804e1231 completed March 28, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c74a8b5af88190a60782e247129d1a completed March 28, 2026, 3:27 a.m.
Created at: March 27, 2026, 2:24 p.m.