Triple

T15741059
Position Surface form Disambiguated ID Type / Status
Subject Bellefleur E381601 entity
Predicate hasCharacter P2308 FINISHED
Object Leah Bellefleur
Leah Bellefleur is a fictional character from Joyce Carol Oates’s novel "Bellefleur," a multigenerational Gothic family saga.
E1176409 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: Leah Bellefleur | Statement: [Bellefleur, hasCharacter, Leah Bellefleur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leah Bellefleur
Context triple: [Bellefleur, hasCharacter, Leah Bellefleur]
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Juliana Crain
    Juliana Crain is the central protagonist of the dystopian television series "The Man in the High Castle," whose moral awakening and resistance activities drive much of the show's alternate-history narrative.
  • C. Bella Greene
    Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
  • D. Lilah Morgan
    Lilah Morgan is a recurring antagonist in the TV series "Angel," known as a ruthless lawyer working for the demonic law firm Wolfram & Hart.
  • E. Lillie Devereux Blake
    Lillie Devereux Blake was a 19th-century American suffragist, writer, and reformer known for her leadership in the women’s rights movement and advocacy for legal and social equality.
  • 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: Leah Bellefleur
Triple: [Bellefleur, hasCharacter, Leah Bellefleur]
Generated description
Leah Bellefleur is a fictional character from Joyce Carol Oates’s novel "Bellefleur," a multigenerational Gothic family saga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leah Bellefleur
Target entity description: Leah Bellefleur is a fictional character from Joyce Carol Oates’s novel "Bellefleur," a multigenerational Gothic family saga.
  • A. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • B. Juliana Crain
    Juliana Crain is the central protagonist of the dystopian television series "The Man in the High Castle," whose moral awakening and resistance activities drive much of the show's alternate-history narrative.
  • C. Bella Greene
    Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
  • D. Lilah Morgan
    Lilah Morgan is a recurring antagonist in the TV series "Angel," known as a ruthless lawyer working for the demonic law firm Wolfram & Hart.
  • E. Lillie Devereux Blake
    Lillie Devereux Blake was a 19th-century American suffragist, writer, and reformer known for her leadership in the women’s rights movement and advocacy for legal and social equality.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd816308190a297986ee7e5554c completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9094b4008190bb5c65fa2bd0f0b5 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff92c07f60819089c3faeea98e329c completed May 9, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff9383ff1c81909e34995818a3c3f7 completed May 9, 2026, 8:05 p.m.
Created at: April 10, 2026, 4:46 a.m.