Triple

T5044733
Position Surface form Disambiguated ID Type / Status
Subject Light Is Like Water E113634 entity
Predicate mainCharacters P9202 FINISHED
Object Totó
Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
 E489167 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: Totó | Statement: [Light Is Like Water, mainCharacters, Totó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Totó
Context triple: [Light Is Like Water, mainCharacters, Totó]
  • A. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Pepa
    Pepa is the stage name of Sandra Denton, a rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
  • D. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • E. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used 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: Totó
Triple: [Light Is Like Water, mainCharacters, Totó]
Generated description
Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Totó
Target entity description: Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
  • A. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Pepa
    Pepa is the stage name of Sandra Denton, a rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
  • D. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • E. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fd81788190b7799f519277119a completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8ad6408190bf4408af7b095a12 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9f91ae7081908a00cf92b5461c75 completed March 21, 2026, 1:39 p.m.
NED2 Entity disambiguation (via description) batch_69bea0155838819082b4b04e79641d65 completed March 21, 2026, 1:41 p.m.
Created at: March 20, 2026, 1:37 p.m.