Triple

T2241770
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Clarkson E49412 entity
Predicate givenName P17 FINISHED
Object Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
E278477 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: Adrienne | Statement: [Adrienne Clarkson, givenName, Adrienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adrienne
Context triple: [Adrienne Clarkson, givenName, Adrienne]
  • A. Adrianne
    Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
  • 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. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • 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: Adrienne
Triple: [Adrienne Clarkson, givenName, Adrienne]
Generated description
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adrienne
Target entity description: Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • A. Adrianne
    Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
  • 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. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0be7fb4819081a5f9c46b616bdb completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69af65388fd48190995f778d6438f739 completed March 10, 2026, 12:26 a.m.
NEDg Description generation batch_69af65f16fc48190a8611279322dd936 completed March 10, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69af66613dc88190af6a0aa1108a9069 completed March 10, 2026, 12:31 a.m.
Created at: March 4, 2026, 7:47 p.m.