Triple

T19227527
Position Surface form Disambiguated ID Type / Status
Subject Lady Sarah Boyle E480776 entity
Predicate givenName P17 FINISHED
Object Sarah
Sarah is a noblewoman of the Boyle family, historically styled Lady Sarah Boyle.
E1365981 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: [Lady Sarah Boyle, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Lady Sarah Boyle, givenName, Sarah]
  • A. Sarah
    Sarah is the given first name of the actress and comedian Patsy Kelly.
  • B. 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."
  • 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: [Lady Sarah Boyle, givenName, Sarah]
Generated description
Sarah is a noblewoman of the Boyle family, historically styled Lady Sarah Boyle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah is a noblewoman of the Boyle family, historically styled Lady Sarah Boyle.
  • A. Sarah
    Sarah is the given name of Lady Sarah Cadogan, an English noblewoman from the early 18th century.
  • B. Sarah
    Sarah is the given name of Lady Sarah Chatto, a British painter and member of the extended royal family.
  • C. Sarah
    Sarah is the given name of Sarah Jane Negley Mellon, a prominent American socialite and philanthropist from the influential Mellon family.
  • D. Sarah
    Sarah is the given name of Sarah Thompson, Countess Rumford, an 18th–19th century noblewoman known for her association with the scientist and inventor Benjamin Thompson (Count Rumford).
  • E. Sarah
    Sarah is the birth name of English actress and author Lalla Ward, known for her role as Romana in the classic Doctor Who series.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9968e88190b14844715ff3aa2a completed April 20, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705d1655c8190bac8cdf38d22ce2e completed May 15, 2026, 11:38 a.m.
NEDg Description generation batch_6a0706a7ff54819095a52f8d77d18060 completed May 15, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_6a070731b0888190a1f93236b36302a6 completed May 15, 2026, 11:44 a.m.
Created at: April 10, 2026, 1:25 p.m.