Triple

T718303
Position Surface form Disambiguated ID Type / Status
Subject Melinda French Gates E14358 entity
Predicate familyName P18 FINISHED
Object Gates E17296 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: Gates | Statement: [Melinda French Gates, familyName, Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gates
Context triple: [Melinda French Gates, familyName, Gates]
  • A. Gates chosen
    Gates is a common English surname most prominently associated with Microsoft co-founder Bill Gates and his family.
  • B. West Glorious Gate
    West Glorious Gate is a principal western entrance to Beijing’s historic Forbidden City, serving as one of the complex’s key ceremonial gateways.
  • C. New Gate
    New Gate is one of the historic entrances in the walls of Jerusalem’s Old City, providing access to the Christian Quarter and reflecting late Ottoman-era modifications to the ancient fortifications.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • 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_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_69a63759d6108190adcdeac45e4c7766 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:37 p.m.