Triple

T22707074
Position Surface form Disambiguated ID Type / Status
Subject Translations E561482 entity
Predicate hasCharacter P2308 FINISHED
Object Sarah
Sarah is a feminine given name of Hebrew origin, widely used across many languages and 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: [Translations, hasCharacter, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Translations, hasCharacter, Sarah]
  • A. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • B. Sarah
    Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
  • C. Sarah
    Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • D. Sarah
    Sarah is the given name of the renowned 19th- and early 20th-century French stage actress Sarah Bernhardt, often called "the Divine Sarah."
  • E. Sarah
    Sarah Onyango Obama was the Kenyan educator and philanthropist best known as the step-grandmother of former U.S. President Barack Obama.
  • 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: [Translations, hasCharacter, Sarah]
Generated description
Sarah is a feminine given name of Hebrew origin, widely used across many languages and 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, widely used across many languages and 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 the legendary American jazz singer Sarah Vaughan, renowned for her rich vocal tone and improvisational skill.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cff7588190a40c8cef0f3cd44a completed April 29, 2026, 3:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ed7caf0819081af40605cf42f1c completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7f6082e88190bdc94bf4af870fba completed May 18, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7fde67fc8190b51edc5c3dac629b completed May 18, 2026, 9:08 p.m.
Created at: April 17, 2026, 3:17 p.m.