Triple

T3611340
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Nevada E76493 entity
Predicate officeHolder P537 FINISHED
Object Elizabeth Bonforte Gardner E373060 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: Elizabeth Bonforte Gardner | Statement: [Diocese of Nevada, officeHolder, Elizabeth Bonforte Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Bonforte Gardner
Context triple: [Diocese of Nevada, officeHolder, Elizabeth Bonforte Gardner]
  • A. Elizabeth Bonforte Gardner chosen
    Elizabeth Bonforte Gardner is an Episcopal bishop who serves as the ecclesiastical leader of the Diocese of Nevada.
  • B. Anna Gardner
    Anna Gardner is the passionate British college student whose long-distance relationship with an American classmate forms the emotional core of the romantic drama film "Like Crazy."
  • C. Charlotte Greenwald Gardner
    Charlotte Greenwald Gardner was the wife of American popular mathematics and science writer Martin Gardner.
  • D. Julie Gardner
    Julie Gardner is a Welsh television producer best known for her pivotal role in reviving and executive producing the modern era of Doctor Who and its spin-offs.
  • E. Elizabeth Nourse
    Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22cac3c8190bc5f7c45d31668c1 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdd9bf18819097c1f6c8a6cbc057 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:23 p.m.