Triple

T5228716
Position Surface form Disambiguated ID Type / Status
Subject Roots E118055 entity
Predicate notableCharacter P1481 FINISHED
Object Kizzy
Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
 E505939 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: Kizzy | Statement: [Roots, notableCharacter, Kizzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kizzy
Context triple: [Roots, notableCharacter, Kizzy]
  • A. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • B. Jussy
    Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
  • C. Rebbie
    Rebbie is an American singer and the eldest child of the Jackson family, known for her R&B music career and songs like "Centipede."
  • D. Queenie
    Queenie is a warm-hearted, humorous African American cook and supporting character in the classic musical "Show Boat," often providing both comic relief and emotional grounding to the story.
  • E. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • 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: Kizzy
Triple: [Roots, notableCharacter, Kizzy]
Generated description
Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kizzy
Target entity description: Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
  • A. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • B. Jussy
    Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
  • C. Rebbie
    Rebbie is an American singer and the eldest child of the Jackson family, known for her R&B music career and songs like "Centipede."
  • D. Queenie
    Queenie is a warm-hearted, humorous African American cook and supporting character in the classic musical "Show Boat," often providing both comic relief and emotional grounding to the story.
  • E. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adee36881909b034b8735db9d67 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef80ca924819095bcc729feb0e464 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8996a208190b9b84b297434c549 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef935c2288190b2c66e25b8f065bd completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:48 p.m.