Triple

T6807585
Position Surface form Disambiguated ID Type / Status
Subject Diane E156346 entity
Predicate relatedName P3889 FINISHED
Object Dianne
Dianne is a feminine given name, often considered a variant of Diane, commonly used in English-speaking countries.
 E156346 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: Dianne | Statement: [Diane, relatedName, Dianne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dianne
Context triple: [Diane, relatedName, Dianne]
  • A. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • B. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • C. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • D. Jeane
    Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
  • E. Diana Graves
    Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
  • 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: Dianne
Triple: [Diane, relatedName, Dianne]
Generated description
Dianne is a feminine given name, often considered a variant of Diane, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dianne
Target entity description: Dianne is a feminine given name, often considered a variant of Diane, commonly used in English-speaking countries.
  • A. Diane chosen
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • B. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • C. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • D. Jeane
    Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
  • E. Diana Graves
    Diana Graves is known as the wife of English character actor Michael Gough, famed for his role as Alfred in the Batman film series.
  • F. None of above.

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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa27cec81909f45911ffa44ea6f completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71bb4dcf08190b3b333f6a282bd8a completed March 28, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69c71c4133908190a2b0a79475101666 completed March 28, 2026, 12:09 a.m.
Created at: March 27, 2026, 2:16 p.m.