Triple

T14404204
Position Surface form Disambiguated ID Type / Status
Subject Lalla Ward E357154 entity
Predicate givenName P17 FINISHED
Object 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.
 E1101101 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: [Lalla Ward, givenName, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah
Context triple: [Lalla Ward, givenName, Sarah]
  • A. Sarah
    Sarah is a recurring character in the animated television series "Ed, Edd n Eddy," known as Ed's bossy, temperamental younger sister.
  • B. Sarah
    Sarah is the given first name of the actress and comedian Patsy Kelly.
  • 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: [Lalla Ward, givenName, Sarah]
Generated description
Sarah is the birth name of English actress and author Lalla Ward, known for her role as Romana in the classic Doctor Who series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah
Target entity description: Sarah is the birth name of English actress and author Lalla Ward, known for her role as Romana in the classic Doctor Who series.
  • A. Sarah
    Sarah is the first name of American actress and producer Sarah Michelle Gellar, known for her role as Buffy Summers in the television series "Buffy the Vampire Slayer."
  • 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 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 Australian actress Sarah Snook, known for her acclaimed role in the television series "Succession."
  • E. Sarah
    Sarah is the given name of English classical crossover soprano and actress Sarah Brightman.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6485d4c48190ac67fd43834aa803 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd681e19148190ae558e8225ad70b9 completed May 8, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd6872b63c819082b8495f5bdaf4e4 completed May 8, 2026, 4:37 a.m.
Created at: April 10, 2026, 1:17 a.m.