Triple

T11137602
Position Surface form Disambiguated ID Type / Status
Subject Sarah Onyango Obama E263454 entity
Predicate givenName P17 FINISHED
Object Sarah
Sarah Onyango Obama was the Kenyan educator and philanthropist best known as the step-grandmother of former U.S. President Barack Obama.
E907416 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 Onyango Obama, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Sarah Onyango Obama, givenName, Sarah]
  • A. Sarah
    Sarah is the resilient and traumatized protagonist of the British horror film "The Descent," known for her harrowing journey through monster-infested caves.
  • B. Sarah
    Sarah is the given first name of the actress and comedian Patsy Kelly.
  • 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 P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
  • E. Sarah
    Sarah is the given name of the renowned 19th- and early 20th-century French stage actress Sarah Bernhardt, often called "the Divine Sarah."
  • 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 Onyango Obama, givenName, Sarah]
Generated description
Sarah Onyango Obama was the Kenyan educator and philanthropist best known as the step-grandmother of former U.S. President Barack Obama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah Onyango Obama was the Kenyan educator and philanthropist best known as the step-grandmother of former U.S. President Barack Obama.
  • A. Sarah
    Sarah is the given name of Sarah Jane Negley Mellon, a prominent American socialite and philanthropist from the influential Mellon family.
  • B. Sarah
    Sarah is the given name of Sarah Breedlove, better known as Madam C. J. Walker, a pioneering African American entrepreneur and philanthropist in the early 20th century.
  • C. Sarah
    Sarah is the first name of Sally Jewell, the former U.S. Secretary of the Interior and business executive.
  • D. 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.
  • E. Sarah
    Sarah, Lady McCorquodale is a British aristocrat best known as the elder sister of Diana, Princess of Wales, and for her work in public service and charitable activities.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85f2ea48190bf1ff63af1d7d236 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441b1b4dc8190a572d4d6269540cd completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c09dd5c8190bddf3dd109a639ba completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.