Triple

T21744007
Position Surface form Disambiguated ID Type / Status
Subject Sarah MacKenzie E536737 entity
Predicate givenName P17 FINISHED
Object Sarah
Sarah is a feminine given name of Hebrew origin meaning "princess," widely used in many English-speaking and international cultures.
 E954385 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: Sarah | Statement: [Sarah MacKenzie, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah
Context triple: [Sarah MacKenzie, givenName, Sarah]
  • A. Sarah
    Sarah is the given name of American actress Sarah Paulson, known for her versatile roles in film and television, particularly in "American Horror Story" and "The People v. O. J. Simpson."
  • B. Sarah
    Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • C. Sarah
    Sarah is the given name of the renowned 19th- and early 20th-century French stage actress Sarah Bernhardt, often called "the Divine Sarah."
  • D. Sarah
    Sarah is a person closely associated with Jimmy as a trusted friend or partner in a shared cause or context.
  • E. Sarah
    Sarah is a noblewoman of the Boyle family, historically styled Lady Sarah Boyle.
  • 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: Sarah
Triple: [Sarah MacKenzie, givenName, Sarah]
Generated description
Sarah is a feminine given name of Hebrew origin meaning "princess," widely used in many English-speaking and international cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah
Target entity description: Sarah is a feminine given name of Hebrew origin meaning "princess," widely used in many English-speaking and international cultures.
  • A. Sarah chosen
    Sarah is a female given name of Hebrew origin, commonly used in English-speaking countries and traditionally meaning "princess."
  • B. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • C. Sarah
    Sarah is the given name of American actress Sarah Paulson, known for her versatile roles in film and television, particularly in "American Horror Story" and "The People v. O. J. Simpson."
  • D. Sarah
    Sarah is the given name of Sarah Moore Grimké, a prominent 19th-century American abolitionist, women's rights advocate, and writer.
  • E. Sarah
    Sarah is the given name of Sarah Jane Negley Mellon, a prominent American socialite and philanthropist from the influential Mellon family.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a366c5cd08190a7e39fdf5983d944 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a3b1a42188190920c813ca0b1c38a completed May 17, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3b8c2a388190bc4fa7c605458e77 completed May 17, 2026, 10:05 p.m.
Created at: April 16, 2026, 6:49 p.m.