Triple

T37065420
Position Surface form Disambiguated ID Type / Status
Subject Selena: The Series E917428 entity
Predicate portrays P264 FINISHED
Object Marcella Quintanilla
Marcella Quintanilla is the mother of Tejano singer Selena Quintanilla-Pérez and a member of the musical Quintanilla family, known for supporting Selena’s career and legacy.
E2291589 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: Marcella Quintanilla | Statement: [Selena: The Series, portrays, Marcella Quintanilla]
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: Marcella Quintanilla
Triple: [Selena: The Series, portrays, Marcella Quintanilla]
Generated description
Marcella Quintanilla is the mother of Tejano singer Selena Quintanilla-Pérez and a member of the musical Quintanilla family, known for supporting Selena’s career and legacy.

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f8f9b708190aa4429b14c142338 completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c700f6ab0819093a4dceb9e836f37 completed July 19, 2026, 6:34 a.m.
NEDg Description generation batch_6a5c7065aa7c8190aa81b69dfb61a199 completed July 19, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a5c70b55cac8190a31b49f6b1bff735 completed July 19, 2026, 6:37 a.m.
Created at: May 3, 2026, 4:14 p.m.