Triple

T11581394
Position Surface form Disambiguated ID Type / Status
Subject Eat Bulaga! E274632 entity
Predicate hasHost P2592 FINISHED
Object Ruby Rodriguez
Ruby Rodriguez is a Filipino television host and comedian best known for her long-running role on the variety show "Eat Bulaga!"
 E951258 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: Ruby Rodriguez | Statement: [Eat Bulaga!, hasHost, Ruby Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruby Rodriguez
Context triple: [Eat Bulaga!, hasHost, Ruby Rodriguez]
  • A. Sonia Rodriguez
    Sonia Rodriguez is a renowned Spanish-Canadian ballerina who became one of the National Ballet of Canada’s most celebrated principal dancers.
  • B. Sarah Ramos
    Sarah Ramos is an American actress best known for her role as Haddie Braverman on the television drama series "Parenthood."
  • C. Mayte Garcia
    Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
  • D. Saundra Santiago
    Saundra Santiago is an American actress best known for her role as Detective Gina Calabrese on the 1980s television crime drama "Miami Vice."
  • E. Yolanda Ramos
    Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
  • 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: Ruby Rodriguez
Triple: [Eat Bulaga!, hasHost, Ruby Rodriguez]
Generated description
Ruby Rodriguez is a Filipino television host and comedian best known for her long-running role on the variety show "Eat Bulaga!"
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruby Rodriguez
Target entity description: Ruby Rodriguez is a Filipino television host and comedian best known for her long-running role on the variety show "Eat Bulaga!"
  • A. Sonia Rodriguez
    Sonia Rodriguez is a renowned Spanish-Canadian ballerina who became one of the National Ballet of Canada’s most celebrated principal dancers.
  • B. Sarah Ramos
    Sarah Ramos is an American actress best known for her role as Haddie Braverman on the television drama series "Parenthood."
  • C. Mayte Garcia
    Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
  • D. Saundra Santiago
    Saundra Santiago is an American actress best known for her role as Detective Gina Calabrese on the 1980s television crime drama "Miami Vice."
  • E. Yolanda Ramos
    Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28092eb108190be203276e7dfa4b5 completed April 29, 2026, 10:05 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:38 p.m.