Triple

T10365489
Position Surface form Disambiguated ID Type / Status
Subject Longbourn E244240 entity
Predicate hasServant P4079 FINISHED
Object Sarah
Sarah is a household servant at Longbourn, the Bennet family estate in Jane Austen’s novel "Pride and Prejudice."
E861447 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: [Longbourn, hasServant, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [Longbourn, hasServant, 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: [Longbourn, hasServant, Sarah]
Generated description
Sarah is a household servant at Longbourn, the Bennet family estate in Jane Austen’s novel "Pride and Prejudice."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah is a household servant at Longbourn, the Bennet family estate in Jane Austen’s novel "Pride and Prejudice."
  • 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 an alternate given name associated with Sally Hemings, the enslaved woman of mixed race owned by Thomas Jefferson and central to historical discussions of slavery and Jefferson’s legacy.
  • C. Sarah
    Sarah is a central character in the psychological horror film "It Comes at Night," portrayed as a protective mother struggling to keep her family safe amid a mysterious, deadly threat.
  • D. Sarah
    Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
  • E. 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.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb827cd4819094bead4304795c33 completed April 9, 2026, 7:18 p.m.
NEDg Description generation batch_69d822d303888190aa556287b3b1cc03 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, noon