Triple

T9180985
Position Surface form Disambiguated ID Type / Status
Subject Stephen Hopkins E220327 entity
Predicate spouse P13 FINISHED
Object Mary Kent E220327 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: Mary Kent | Statement: [Stephen Hopkins, spouse, Mary Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Kent
Context triple: [Stephen Hopkins, spouse, Mary Kent]
  • A. Mary Kent chosen
    Mary Kent was the wife of early American colonial leader and Mayflower passenger Stephen Hopkins.
  • B. Katharine Tennant
    Katharine Tennant was a member of the prominent Tennant family of British high society in the late 19th and early 20th centuries.
  • C. Elisabeth Scott
    Elisabeth Scott was a pioneering British architect best known for designing the modernist Royal Shakespeare Theatre in Stratford-upon-Avon.
  • D. Elizabeth Donkin
    Elizabeth Donkin was the wife of British acting governor Sir Rufane Donkin, in whose memory the South African city of Port Elizabeth was named.
  • E. Elizabeth Kitley
    Elizabeth Kitley is an American college basketball center for Virginia Tech, recognized as one of the top players in the nation and a multi-time ACC Player of the Year.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc251da448190a5c7f684dac15a84 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d12cc1e4608190b1e93bdcf0fd9eba completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 7:23 p.m.