Triple

T3017915
Position Surface form Disambiguated ID Type / Status
Subject Sondra Bizet E82381 entity
Predicate givenName P17 FINISHED
Object Sondra
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
E322557 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: Sondra | Statement: [Sondra Bizet, givenName, Sondra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sondra
Context triple: [Sondra Bizet, givenName, Sondra]
  • A. 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.
  • B. Donna
    Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
  • C. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • D. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • E. Linda
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • 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: Sondra
Triple: [Sondra Bizet, givenName, Sondra]
Generated description
Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sondra
Target entity description: Sondra is a feminine given name, often considered a variant of Sandra or Alexandra.
  • A. 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.
  • B. Donna
    Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
  • C. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • D. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • E. Linda
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a90ea64819080620e60bbd6aa24 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee74390819087e48b67ed4a9f27 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1ef5bbec4819082757bb3ddd614ff completed March 11, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69b1efdfba0081908e3e30faa8d0f862 completed March 11, 2026, 10:42 p.m.
Created at: March 8, 2026, 3 p.m.