Triple

T937882
Position Surface form Disambiguated ID Type / Status
Subject Diane Nash E20237 entity
Predicate givenName P17 FINISHED
Object Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
 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: Diane | Statement: [Diane Nash, givenName, Diane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diane
Context triple: [Diane Nash, givenName, Diane]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Marcia
    Marcia was the mother of the Roman emperor Trajan and a member of the provincial Roman aristocracy in Hispania.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. 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.
  • E. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • 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: Diane
Triple: [Diane Nash, givenName, Diane]
Generated description
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diane
Target entity description: Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Marcia
    Marcia was the mother of the Roman emperor Trajan and a member of the provincial Roman aristocracy in Hispania.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. 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.
  • E. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b388f0bc8190a087222636135ba5 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce513848819094ad79eea2a53172 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acceda83f08190b191c0c1432108b0 completed March 8, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69accfc65c008190affa13bee507bf6e completed March 8, 2026, 1:24 a.m.
Created at: March 1, 2026, 7:40 p.m.