Triple

T12183581
Position Surface form Disambiguated ID Type / Status
Subject Plaza Sésamo E290277 entity
Predicate hasCharacter P2308 FINISHED
Object Bodoque
Bodoque is a Muppet-style character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for appearing in educational segments for children.
E967636 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: Bodoque | Statement: [Plaza Sésamo, hasCharacter, Bodoque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodoque
Context triple: [Plaza Sésamo, hasCharacter, Bodoque]
  • A. Noatak
    Noatak is a remote Inupiat village in northwestern Alaska situated along the Noatak River above the Arctic Circle.
  • B. Barela
    Barela is an indigenous tribal community associated with the Nimar region of central India, known for its distinct cultural traditions and social identity.
  • C. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • D. Coyuya
    Coyuya is a Mexico City Metro station serving the eastern part of the city on Line 8.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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: Bodoque
Triple: [Plaza Sésamo, hasCharacter, Bodoque]
Generated description
Bodoque is a Muppet-style character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for appearing in educational segments for children.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bodoque
Target entity description: Bodoque is a Muppet-style character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for appearing in educational segments for children.
  • A. Noatak
    Noatak is a remote Inupiat village in northwestern Alaska situated along the Noatak River above the Arctic Circle.
  • B. Barela
    Barela is an indigenous tribal community associated with the Nimar region of central India, known for its distinct cultural traditions and social identity.
  • C. Pumanque
    Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
  • D. Coyuya
    Coyuya is a Mexico City Metro station serving the eastern part of the city on Line 8.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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_69f5f6aecb0881909084f3ff2a9e52ea completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.