Triple

T13540534
Position Surface form Disambiguated ID Type / Status
Subject Bett E323370 entity
Predicate shortFormOf P43 FINISHED
Object Elizabeth
Elizabeth is a traditional given name of Hebrew origin, commonly shortened to nicknames such as Bett.
 E40040 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: [Bett, shortFormOf, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabeth
Context triple: [Bett, shortFormOf, Elizabeth]
  • A. Elizabeth
    Elizabeth is a key character in Nathaniel Hawthorne’s short story “The Minister’s Black Veil,” serving as Reverend Hooper’s fiancée whose reaction to his mysterious veil highlights themes of isolation and the fear of hidden sin.
  • B. Elizabeth
    Elizabeth is the middle name of Lady Sarah Chatto, a British painter and member of the extended royal family.
  • C. Elizabeth
    Elizabeth is the central character in the Broadway musical "If/Then," a woman who explores how a single choice can lead to radically different life paths.
  • D. Elizabeth
    Elizabeth is the given name of Jane Elizabeth Ebsworth Oriel, the late wife of British broadcaster and naturalist David Attenborough.
  • E. Elizabeth
    Elizabeth is the given name of Elizabeth Jane Cochrane, better known as pioneering American investigative journalist Nellie Bly.
  • 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: [Bett, shortFormOf, Elizabeth]
Generated description
Elizabeth is a traditional given name of Hebrew origin, commonly shortened to nicknames such as Bett.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabeth
Target entity description: Elizabeth is a traditional given name of Hebrew origin, commonly shortened to nicknames such as Bett.
  • A. Elizabeth chosen
    Elizabeth is a feminine given name of Hebrew origin, traditionally interpreted to mean "God is my oath" and widely used in many English-speaking and European cultures.
  • B. Elizabeth
    Elizabeth is the middle name of Mary Elizabeth Horsley, likely reflecting a traditional English given name.
  • C. Elizabeth
    Elizabeth is the formal given name of Australian sprinting legend Betty Cuthbert, a four-time Olympic gold medalist.
  • D. Elizabeth
    Elizabeth is the middle name of Princess Beatrice of York, a member of the British royal family.
  • E. Elizabeth
    Elizabeth is the given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • F. None of above.

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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba344e0819098da09416a913851 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77640b5308190aaa50e8d5d871832 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:45 p.m.