Triple

T4555910
Position Surface form Disambiguated ID Type / Status
Subject Brenda Leigh Johnson E120476 entity
Predicate givenName P17 FINISHED
Object Brenda
Brenda is a feminine given name commonly used in English-speaking countries.
 E452857 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: Brenda | Statement: [Brenda Leigh Johnson, givenName, Brenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brenda
Context triple: [Brenda Leigh Johnson, givenName, Brenda]
  • A. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • B. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • C. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • D. Trisha
    Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
  • E. Sondra
    Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • 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: Brenda
Triple: [Brenda Leigh Johnson, givenName, Brenda]
Generated description
Brenda is a feminine given name commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brenda
Target entity description: Brenda is a feminine given name commonly used in English-speaking countries.
  • A. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • B. Sandra
    Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
  • C. Sandra
    Sandra is a 1965 Italian drama film by Luchino Visconti, noted for its modern reworking of the Electra myth and its exploration of family secrets and guilt.
  • D. Trisha
    Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
  • E. Sondra
    Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5814f56c8190a65f61f6148b7e5a completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc8a14ca88190b4104c113e150edd completed March 20, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69bdc95f7064819081c69df00a869c31 completed March 20, 2026, 10:25 p.m.
Created at: March 20, 2026, 1:09 p.m.