Triple

T4498542
Position Surface form Disambiguated ID Type / Status
Subject Melinda French Gates E100758 entity
Predicate birthName P65 FINISHED
Object Melinda Ann French E227883 NE FINISHED

How this triple was built (2 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 Ann French | Statement: [Melinda French Gates, birthName, Melinda Ann French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melinda Ann French
Context triple: [Melinda French Gates, birthName, Melinda Ann French]
  • A. Melinda Ann French chosen
    Melinda Ann French, better known as Melinda French Gates, is an American philanthropist and former Microsoft executive who co-founded the Bill & Melinda Gates Foundation.
  • B. Melinda Rogers
    Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
  • C. Melinda Katz
    Melinda Katz is an American politician and attorney who has served as the Queens County District Attorney in New York City.
  • D. Melinda Henneberger
    Melinda Henneberger is an American journalist and columnist known for her incisive political commentary and award-winning opinion writing.
  • E. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c29868819097633c7cd398e865 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacce0f10819092e92c144627344b completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1 p.m.