Triple

T19849081
Position Surface form Disambiguated ID Type / Status
Subject The House on Mango Street E476946 entity
Predicate hasCharacter P2308 FINISHED
Object Alicia
Alicia is a studious young woman in Sandra Cisneros’s novel *The House on Mango Street* who strives to escape the limitations of her impoverished neighborhood through education.
E1398934 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: Alicia | Statement: [The House on Mango Street, hasCharacter, Alicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicia
Context triple: [The House on Mango Street, hasCharacter, Alicia]
  • A. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • B. Alicia
    Alicia is a fictional character associated with the entity or concept known as "The Lonely."
  • C. Alicia
    Alicia is a supporting character in the Argentine-Spanish film "Martín (Hache)," involved in the complex emotional and interpersonal dynamics surrounding the protagonist.
  • D. Alicia
    Alicia is a municipality located within Isabela Province in the Cagayan Valley region of the Philippines.
  • E. Alicia
    Alicia is a feminine given name of Spanish and Portuguese origin, commonly used in many English- and Spanish-speaking countries.
  • 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: Alicia
Triple: [The House on Mango Street, hasCharacter, Alicia]
Generated description
Alicia is a studious young woman in Sandra Cisneros’s novel *The House on Mango Street* who strives to escape the limitations of her impoverished neighborhood through education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alicia
Target entity description: Alicia is a studious young woman in Sandra Cisneros’s novel *The House on Mango Street* who strives to escape the limitations of her impoverished neighborhood through education.
  • A. Alicia
    Alicia is the central protagonist of "The Demolitionist," around whom the film’s action and narrative primarily revolve.
  • B. Alicia
    Alicia is a central female character in the 2017 Southern Gothic thriller "The Beguiled," whose complex emotions and shifting loyalties help drive the film’s tense, atmospheric drama.
  • C. Alicia
    Alicia is a fictional character associated with the entity or concept known as "The Lonely."
  • D. Alicia
    Alicia is a supporting character in the Argentine-Spanish film "Martín (Hache)," involved in the complex emotional and interpersonal dynamics surrounding the protagonist.
  • E. Alicia
    Alicia is a feminine given name of Spanish and Portuguese origin, commonly used in many English- and Spanish-speaking countries.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658664368819082783bc40342a26a completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d43eee448190ba75cb9b72227918 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d8429d0c81908d4fdb9e41f6b9f5 completed May 16, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a07d8afc97c81908be6ddcaf2a6987c completed May 16, 2026, 2:38 a.m.
Created at: April 10, 2026, 1:51 p.m.