Triple

T10494898
Position Surface form Disambiguated ID Type / Status
Subject Steadman E247511 entity
Predicate hasNotableBearer P458 FINISHED
Object Bernice Steadman
Bernice Steadman was an American aviator and one of the Mercury 13 women who underwent astronaut training in the early U.S. space program.
E936724 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: Bernice Steadman | Statement: [Steadman, hasNotableBearer, Bernice Steadman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernice Steadman
Context triple: [Steadman, hasNotableBearer, Bernice Steadman]
  • A. Bernice Sawyer
    Bernice Sawyer is best known as the wife of Eugene Sawyer, who served as mayor of Chicago in the late 1980s.
  • B. Bernice Foxe
    Bernice Foxe is a resourceful and sharp-witted secretary and investigator who appears as a supporting character in the 1980s television detective series "Remington Steele."
  • C. Bernice Boyle
    Bernice Boyle is a relative of Charles Boyle, a character from the television series "Brooklyn Nine-Nine."
  • D. Bernice Bourne
    Bernice Bourne is an individual known primarily for being among the notable people interred at Flushing Cemetery in Queens, New York.
  • E. Della Myers
    Della Myers is the suburban housewife protagonist of the thriller film "While She Was Out," who is forced into a violent struggle for survival after a routine errand turns deadly.
  • 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: Bernice Steadman
Triple: [Steadman, hasNotableBearer, Bernice Steadman]
Generated description
Bernice Steadman was an American aviator and one of the Mercury 13 women who underwent astronaut training in the early U.S. space program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bernice Steadman
Target entity description: Bernice Steadman was an American aviator and one of the Mercury 13 women who underwent astronaut training in the early U.S. space program.
  • A. Bernice Sawyer
    Bernice Sawyer is best known as the wife of Eugene Sawyer, who served as mayor of Chicago in the late 1980s.
  • B. Bernice Foxe
    Bernice Foxe is a resourceful and sharp-witted secretary and investigator who appears as a supporting character in the 1980s television detective series "Remington Steele."
  • C. Bernice Boyle
    Bernice Boyle is a relative of Charles Boyle, a character from the television series "Brooklyn Nine-Nine."
  • D. Bernice Bourne
    Bernice Bourne is an individual known primarily for being among the notable people interred at Flushing Cemetery in Queens, New York.
  • E. Della Myers
    Della Myers is the suburban housewife protagonist of the thriller film "While She Was Out," who is forced into a violent struggle for survival after a routine errand turns deadly.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee85e044e881909d426f7121dd89e1 completed April 26, 2026, 9:38 p.m.
NEDg Description generation batch_69ee9cf1cb2481908bc473c87bc42d60 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd31894481908dbd55f605c693f9 completed April 27, 2026, 2:42 a.m.
Created at: April 6, 2026, 12:24 p.m.