Triple

T6270893
Position Surface form Disambiguated ID Type / Status
Subject A Day Late and a Dollar Short E140530 entity
Predicate featuresCharacter P626 FINISHED
Object Paris Price
Paris Price is a central character in Terry McMillan’s novel "A Day Late and a Dollar Short," which follows the struggles and dynamics of a contemporary African American family.
 E579163 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: Paris Price | Statement: [A Day Late and a Dollar Short, featuresCharacter, Paris Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris Price
Context triple: [A Day Late and a Dollar Short, featuresCharacter, Paris Price]
  • A. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • B. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • C. Parsons Paris
    Parsons Paris is the European campus of Parsons School of Design in Paris, offering art and design education with a global, interdisciplinary focus.
  • D. Saint-Laurent
    Saint-Laurent is a borough of Montreal known as a major residential and industrial hub on the Island of Montreal in Quebec, Canada.
  • E. Nina Ricci
    Nina Ricci is a French luxury fashion house renowned for its elegant haute couture, ready-to-wear collections, and iconic fragrances.
  • 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: Paris Price
Triple: [A Day Late and a Dollar Short, featuresCharacter, Paris Price]
Generated description
Paris Price is a central character in Terry McMillan’s novel "A Day Late and a Dollar Short," which follows the struggles and dynamics of a contemporary African American family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris Price
Target entity description: Paris Price is a central character in Terry McMillan’s novel "A Day Late and a Dollar Short," which follows the struggles and dynamics of a contemporary African American family.
  • A. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • B. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • C. Parsons Paris
    Parsons Paris is the European campus of Parsons School of Design in Paris, offering art and design education with a global, interdisciplinary focus.
  • D. Saint-Laurent
    Saint-Laurent is a borough of Montreal known as a major residential and industrial hub on the Island of Montreal in Quebec, Canada.
  • E. Nina Ricci
    Nina Ricci is a French luxury fashion house renowned for its elegant haute couture, ready-to-wear collections, and iconic fragrances.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c246b507a08190ab5423c54e2b0eb5 completed March 24, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69c2471ce99c8190af2305937dfacc9c completed March 24, 2026, 8:11 a.m.
Created at: March 22, 2026, 4:25 p.m.