Triple

T12356656
Position Surface form Disambiguated ID Type / Status
Subject The Lover E294629 entity
Predicate hasCharacter P2308 FINISHED
Object Sarah
Sarah is a fictional character known as "The Lover," typically portrayed as a passionate, devoted, and emotionally driven romantic figure.
E983023 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: [The Lover, hasCharacter, Sarah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah
Context triple: [The Lover, hasCharacter, 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: [The Lover, hasCharacter, Sarah]
Generated description
Sarah is a fictional character known as "The Lover," typically portrayed as a passionate, devoted, and emotionally driven romantic figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah
Target entity description: Sarah is a fictional character known as "The Lover," typically portrayed as a passionate, devoted, and emotionally driven romantic figure.
  • A. Sarah
    Sarah is a character associated with the work "Bastard," likely serving as a notable figure within its story.
  • B. Sarah
    Sarah is a fictional character from the musical "Ragtime," representing the struggles and resilience of African Americans in early 20th-century America.
  • C. Sarah
    Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
  • D. 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.
  • E. Sarah
    Sarah is the resilient and traumatized protagonist of the British horror film "The Descent," known for her harrowing journey through monster-infested caves.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8e64dc81908c2242c68cd1b86e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee89b28819095e2e5df8acbcb22 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6403711bc8190b214d4b06792a538 completed May 2, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69f640f543c08190b95b16a8909eebf8 completed May 2, 2026, 6:22 p.m.
Created at: April 8, 2026, 9:54 p.m.