Triple

T718301
Position Surface form Disambiguated ID Type / Status
Subject Melinda French Gates E14358 entity
Predicate givenName P17 FINISHED
Object Melinda
Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
 E100758 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: Melinda | Statement: [Melinda French Gates, givenName, Melinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melinda
Context triple: [Melinda French Gates, givenName, Melinda]
  • A. Linda
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • B. Marcia
    Marcia was the mother of the Roman emperor Trajan and a member of the provincial Roman aristocracy in Hispania.
  • C. Maxine
    Maxine is a character featured in the film "Once Again."
  • D. Lauren
    Lauren is a central female protagonist in the romantic comedy film "Think Like a Man," portrayed as a successful, relationship-seeking woman whose love life is influenced by Steve Harvey’s dating advice.
  • 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: Melinda
Triple: [Melinda French Gates, givenName, Melinda]
Generated description
Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melinda
Target entity description: Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
  • A. Linda
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • B. Marcia
    Marcia was the mother of the Roman emperor Trajan and a member of the provincial Roman aristocracy in Hispania.
  • C. Maxine
    Maxine is a character featured in the film "Once Again."
  • D. Lauren
    Lauren is a central female protagonist in the romantic comedy film "Think Like a Man," portrayed as a successful, relationship-seeking woman whose love life is influenced by Steve Harvey’s dating advice.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a8bcc8819091c785ad953ddc54 completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a42e814481908263b19c75f80c51 completed March 4, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7a49cd1a88190906b6ab283ba6849 completed March 4, 2026, 3:18 a.m.
Created at: March 1, 2026, 7:37 p.m.