Triple

T8987412
Position Surface form Disambiguated ID Type / Status
Subject Elsie E214702 entity
Predicate hasShortFormOf P8075 FINISHED
Object Elizabeth
Elizabeth is a classic given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and royal figures.
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: [Elsie, hasShortFormOf, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Elsie, hasShortFormOf, 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 given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • 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 Cromwell was the wife of English military and political leader Oliver Cromwell and served as the de facto first lady during his tenure as Lord Protector.
  • E. Elizabeth
    Elizabeth Stewart, Duchess of Albany, was a 15th-century Scottish noblewoman and daughter of King James II of Scotland.
  • 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: [Elsie, hasShortFormOf, Elizabeth]
Generated description
Elizabeth is a classic given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and royal figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Target entity description: Elizabeth is a classic given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and royal figures.
  • 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 given name of the renowned Victorian-era English poet Elizabeth Barrett Browning.
  • C. Elizabeth
    Elizabeth is the given name of Caroline Elizabeth DeWint, a 19th-century figure identifiable by this personal name.
  • D. Elizabeth
    Elizabeth is a biblical figure in the New Testament, known as the mother of John the Baptist and a relative of Mary, the mother of Jesus.
  • E. 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.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ef19108190ac518c4f744b6d60 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01755d26c819084c6b4967550842e completed April 3, 2026, 7:39 p.m.
NEDg Description generation batch_69d019059e8481909a696575366aa0b6 completed April 3, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69d019a2736c8190880c8f3786cf353b completed April 3, 2026, 7:48 p.m.
Created at: March 30, 2026, 7:04 p.m.