Triple

T1244674
Position Surface form Disambiguated ID Type / Status
Subject Priscilla E26735 entity
Predicate hasDiminutive P456 FINISHED
Object Prissy
Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
E143469 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: Prissy | Statement: [Priscilla, hasDiminutive, Prissy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prissy
Context triple: [Priscilla, hasDiminutive, Prissy]
  • A. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • B. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • C. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • D. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • 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: Prissy
Triple: [Priscilla, hasDiminutive, Prissy]
Generated description
Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prissy
Target entity description: Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
  • A. Betsy
    Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
  • B. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • C. Lucille
    Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
  • D. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c420f08190a6eda4d0aa498a3a completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac94ed24108190b0118317717070b2 completed March 7, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69ac955c94e481908ada73691ae5f1be completed March 7, 2026, 9:15 p.m.
Created at: March 1, 2026, 7:47 p.m.