Triple

T1292868
Position Surface form Disambiguated ID Type / Status
Subject Joan Armstrong E27585 entity
Predicate hasGivenName P17 FINISHED
Object Joan
Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
 E177136 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: Joan | Statement: [Joan Armstrong, hasGivenName, Joan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joan
Context triple: [Joan Armstrong, hasGivenName, Joan]
  • A. Joan
    Joan is the middle name of Margaret Trudeau, the Canadian author, actress, and former wife of Prime Minister Pierre Trudeau.
  • B. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • C. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • D. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • E. Winifred
    Winifred is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
  • 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: Joan
Triple: [Joan Armstrong, hasGivenName, Joan]
Generated description
Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joan
Target entity description: Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
  • A. Joan
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • B. Joan
    Joan is the middle name of Margaret Trudeau, the Canadian author, actress, and former wife of Prime Minister Pierre Trudeau.
  • C. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • D. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • E. Winifred
    Winifred is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f09d5c81909e6dc036fe9c5b4a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f6d9288190ad64dc1bc9e9f8c1 completed March 8, 2026, 8:44 a.m.
NEDg Description generation batch_69ad376688bc8190b04e04e8cf7efd86 completed March 8, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69ad38e6c1dc8190af0252ac9a3b346a completed March 8, 2026, 8:52 a.m.
Created at: March 1, 2026, 7:51 p.m.