Triple

T13774756
Position Surface form Disambiguated ID Type / Status
Subject Charlayne Woodard E330975 entity
Predicate notableWork P4 FINISHED
Object Neat
Neat is a one-woman play by Charlayne Woodard that explores family, memory, and coming-of-age through the story of her developmentally disabled aunt.
E1060017 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: Neat | Statement: [Charlayne Woodard, notableWork, Neat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neat
Context triple: [Charlayne Woodard, notableWork, Neat]
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • C. Formosante
    Formosante is the beautiful and virtuous Babylonian princess who serves as the heroine of Voltaire’s philosophical tale "La Princesse de Babylone."
  • D. Schön
    Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
  • E. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • 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: Neat
Triple: [Charlayne Woodard, notableWork, Neat]
Generated description
Neat is a one-woman play by Charlayne Woodard that explores family, memory, and coming-of-age through the story of her developmentally disabled aunt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neat
Target entity description: Neat is a one-woman play by Charlayne Woodard that explores family, memory, and coming-of-age through the story of her developmentally disabled aunt.
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. Nice
    Nice is a cabin class offered by Breeze Airways that provides a standard, budget-friendly economy experience for passengers.
  • C. Formosante
    Formosante is the beautiful and virtuous Babylonian princess who serves as the heroine of Voltaire’s philosophical tale "La Princesse de Babylone."
  • D. Schön
    Schön is a surname of German origin borne by various individuals, including the American sculptor Nancy Schön.
  • E. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.