Triple

T5366671
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Bishop E103148 entity
Predicate givenName P17 FINISHED
Object Elizabeth
Elizabeth is the first name of Elizabeth Bishop, the acclaimed American poet known for her precise language and vivid imagery.
 E516034 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: Elizabeth | Statement: [Elizabeth Bishop, givenName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabeth
Context triple: [Elizabeth Bishop, givenName, Elizabeth]
  • A. Elizabeth
    Elizabeth is the formal first name of Bess Truman, who served as First Lady of the United States as the wife of President Harry S. Truman.
  • B. Elizabeth
    Elizabeth is a city in northeastern New Jersey that forms part of the greater New York metropolitan area.
  • C. Elizabeth
    Elizabeth is the middle name of Lady Sarah Chatto, a British painter and member of the extended royal family.
  • D. Elizabeth
    Elizabeth is the given name of Princess Alexandra, The Honourable Lady Ogilvy, a member of the British royal family and cousin of Queen Elizabeth II.
  • E. Elizabeth
    Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • 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: Elizabeth
Triple: [Elizabeth Bishop, givenName, Elizabeth]
Generated description
Elizabeth is the first name of Elizabeth Bishop, the acclaimed American poet known for her precise language and vivid imagery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabeth
Target entity description: Elizabeth is the first name of Elizabeth Bishop, the acclaimed American poet known for her precise language and vivid imagery.
  • A. Elizabeth
    Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • B. Elizabeth
    Elizabeth is the first name of Elizabeth Warren, a prominent American politician and U.S. senator from Massachusetts known for her work on consumer protection and economic inequality.
  • C. Elizabeth
    Elizabeth is the first name of acclaimed New Zealand filmmaker Jane Campion, known for directing films such as "The Piano."
  • D. Elizabeth
    Elizabeth is the birth name of American comedian, writer, and actress Tina Fey, known for her work on "Saturday Night Live" and "30 Rock."
  • E. Elizabeth
    Elizabeth is the full given name of American attorney and politician Liz Cheney, a prominent conservative figure and former U.S. Representative from Wyoming.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8684103081908ed79625b59e4b24 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2924caf48190b05f3ccbe54997d7 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf2a09891c81908509695a41d1aa02 completed March 21, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69bf2ad48fc48190bb0c7de4df879c3b completed March 21, 2026, 11:33 p.m.
Created at: March 20, 2026, 2:02 p.m.