Triple

T12183580
Position Surface form Disambiguated ID Type / Status
Subject Plaza Sésamo E290277 entity
Predicate hasCharacter P2308 FINISHED
Object Archibaldo
Archibaldo is a Muppet character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for his formal, somewhat pompous personality.
 E970265 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: Archibaldo | Statement: [Plaza Sésamo, hasCharacter, Archibaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Archibaldo
Context triple: [Plaza Sésamo, hasCharacter, Archibaldo]
  • A. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • B. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • C. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • D. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • E. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in 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: Archibaldo
Triple: [Plaza Sésamo, hasCharacter, Archibaldo]
Generated description
Archibaldo is a Muppet character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for his formal, somewhat pompous personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Archibaldo
Target entity description: Archibaldo is a Muppet character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for his formal, somewhat pompous personality.
  • A. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • B. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • C. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • D. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • E. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8a92688190867b3e7191c3f43e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.