Triple

T2081235
Position Surface form Disambiguated ID Type / Status
Subject Myra, West Virginia E45246 entity
Predicate namedFor P63 FINISHED
Object Myra (given name)
Myra is a feminine given name of English origin, often considered a poetic or invented name that gained popularity in the 17th century.
 E231447 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: Myra (given name) | Statement: [Myra, West Virginia, namedFor, Myra (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Myra (given name)
Context triple: [Myra, West Virginia, namedFor, Myra (given name)]
  • A. Myra Finn
    Myra Finn was the first wife of renowned American lyricist and musical theatre producer Oscar Hammerstein II.
  • B. Naima
    Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
  • C. Maureen
    Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • 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: Myra (given name)
Triple: [Myra, West Virginia, namedFor, Myra (given name)]
Generated description
Myra is a feminine given name of English origin, often considered a poetic or invented name that gained popularity in the 17th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Myra (given name)
Target entity description: Myra is a feminine given name of English origin, often considered a poetic or invented name that gained popularity in the 17th century.
  • A. Myra Finn
    Myra Finn was the first wife of renowned American lyricist and musical theatre producer Oscar Hammerstein II.
  • B. Naima
    Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
  • C. Maureen
    Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
  • D. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • E. Cynthia
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba35c2588190933dba882f52dd17 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.