Triple

T7694166
Position Surface form Disambiguated ID Type / Status
Subject the Priest E174328 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Miss Prym
Miss Prym is the central protagonist of Paulo Coelho’s novel "The Devil and Miss Prym," a young woman in a small village who becomes embroiled in a moral dilemma when confronted with a stranger’s dark proposal.
 E682773 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: Miss Prym | Statement: [the Priest, associatedWithCharacter, Miss Prym]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miss Prym
Context triple: [the Priest, associatedWithCharacter, Miss Prym]
  • A. Prissy
    Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
  • B. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • C. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • 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: Miss Prym
Triple: [the Priest, associatedWithCharacter, Miss Prym]
Generated description
Miss Prym is the central protagonist of Paulo Coelho’s novel "The Devil and Miss Prym," a young woman in a small village who becomes embroiled in a moral dilemma when confronted with a stranger’s dark proposal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miss Prym
Target entity description: Miss Prym is the central protagonist of Paulo Coelho’s novel "The Devil and Miss Prym," a young woman in a small village who becomes embroiled in a moral dilemma when confronted with a stranger’s dark proposal.
  • A. Prissy
    Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
  • B. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • C. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702459f988190bf7087bf51d5317f completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8aca5f3388190b25e70caa364d712 completed March 29, 2026, 4:37 a.m.
NEDg Description generation batch_69c8adeb3948819087404b0d7d7e619e completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8aedede388190b8eb79cea223c31c completed March 29, 2026, 4:47 a.m.
Created at: March 27, 2026, 4:02 p.m.