Triple

T11075546
Position Surface form Disambiguated ID Type / Status
Subject Princess Salimah Aga Khan E261855 entity
Predicate givenName P17 FINISHED
Object Sarah
Sarah, better known by her title Princess Salimah Aga Khan, is a British-born former fashion model and the first wife of Prince Karim Aga Khan IV, the 49th Imam of the Nizari Ismaili Muslims.
E907159 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: [Princess Salimah Aga Khan, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Princess Salimah Aga Khan, 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: [Princess Salimah Aga Khan, givenName, Sarah]
Generated description
Sarah, better known by her title Princess Salimah Aga Khan, is a British-born former fashion model and the first wife of Prince Karim Aga Khan IV, the 49th Imam of the Nizari Ismaili Muslims.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah, better known by her title Princess Salimah Aga Khan, is a British-born former fashion model and the first wife of Prince Karim Aga Khan IV, the 49th Imam of the Nizari Ismaili Muslims.
  • A. Sarah
    Sarah, Duchess of York is a British author, media personality, and former member of the British royal family who was previously married to Prince Andrew, Duke of York.
  • 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, 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.
  • D. Sarah
    Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
  • E. Sarah
    Sarah is the first name of Sally Jewell, the former U.S. Secretary of the Interior and business executive.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994efb608190a81bc8c4d16ddbd0 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441b1b4dc8190a572d4d6269540cd completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c0606408190819b9d3fd58f818f completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4510dc55081908f89aab15726b2a8 completed April 19, 2026, 3:50 a.m.
Created at: April 8, 2026, 9:26 p.m.