Triple

T19858573
Position Surface form Disambiguated ID Type / Status
Subject Quino E477198 entity
Predicate notableCharacterCreated P9708 FINISHED
Object Susanita
Susanita is a recurring character in Quino’s comic strip "Mafalda," known as a conservative, gossip-loving little girl obsessed with marriage and motherhood.
 E1400382 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: Susanita | Statement: [Quino, notableCharacterCreated, Susanita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susanita
Context triple: [Quino, notableCharacterCreated, Susanita]
  • A. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • B. Suzanne
    Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
  • C. Suzanne
    Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
  • D. Suzette
    Suzette is a fictional character appearing in the story or series "The Firefly."
  • E. Sheri
    Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
  • 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: Susanita
Triple: [Quino, notableCharacterCreated, Susanita]
Generated description
Susanita is a recurring character in Quino’s comic strip "Mafalda," known as a conservative, gossip-loving little girl obsessed with marriage and motherhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susanita
Target entity description: Susanita is a recurring character in Quino’s comic strip "Mafalda," known as a conservative, gossip-loving little girl obsessed with marriage and motherhood.
  • A. Suzanne
    Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
  • B. Suzanne
    Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
  • C. Suzanne
    "Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
  • D. Suzette
    Suzette is a fictional character appearing in the story or series "The Firefly."
  • E. Sheri
    Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586dbbf0819089e7157d416aeaaf completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbbc788881909c8d8d6417182335 completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc57696081908475464010ae707b completed May 16, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_6a07dcd440b88190b9f44d16f4e06291 completed May 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 1:51 p.m.