Triple

T28139185
Position Surface form Disambiguated ID Type / Status
Subject Cháves E714293 entity
Predicate star P23405 FINISHED
Object Florinda Meza
Florinda Meza is a Mexican actress, producer, and screenwriter best known for her iconic roles in the classic television comedy series "El Chavo del Ocho" and other shows created by Roberto Gómez Bolaños.
E2083525 NE FINISHED

How this triple was built (2 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: Florinda Meza | Statement: [Cháves, star, Florinda Meza]
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: Florinda Meza
Triple: [Cháves, star, Florinda Meza]
Generated description
Florinda Meza is a Mexican actress, producer, and screenwriter best known for her iconic roles in the classic television comedy series "El Chavo del Ocho" and other shows created by Roberto Gómez Bolaños.

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_69efd6af156c81908f50c2cd7db0e1ef completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f641322cfc81909e49091538ec27c4 completed May 2, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1a228a88190a6adca7f1ca112b9 completed June 20, 2026, 4:36 p.m.
NEDg Description generation batch_6a36c328ba788190ac5f7e0d59cedcff completed June 20, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_6a36c3da25608190b47fdf74705560bc completed June 20, 2026, 4:46 p.m.
Created at: April 27, 2026, 9:52 p.m.