Triple

T1861765
Position Surface form Disambiguated ID Type / Status
Subject Jeane Kirkpatrick E34829 entity
Predicate givenName P17 FINISHED
Object Jeane
Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
 E217686 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: Jeane | Statement: [Jeane Kirkpatrick, givenName, Jeane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeane
Context triple: [Jeane Kirkpatrick, givenName, Jeane]
  • A. Juanita
    Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
  • B. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • C. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • D. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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: Jeane
Triple: [Jeane Kirkpatrick, givenName, Jeane]
Generated description
Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeane
Target entity description: Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
  • A. Juanita
    Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
  • B. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • C. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • D. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • E. 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.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3c82d50819094e8ccdba0faf819 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf6023dc081908399c9ad402c7e82 completed March 8, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69adf65600448190ae90a954f88115ff completed March 8, 2026, 10:21 p.m.
Created at: March 4, 2026, 7:34 p.m.