Triple

T30188198
Position Surface form Disambiguated ID Type / Status
Subject Alejandro Fernández E767395 entity
Predicate hasChild P369 FINISHED
Object Valentina Fernández
Valentina Fernández is one of the children of renowned Mexican singer Alejandro Fernández, known primarily for her connection to the famous musical Fernández family.
E1913767 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: Valentina Fernández | Statement: [Alejandro Fernández, hasChild, Valentina Fernández]
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: Valentina Fernández
Triple: [Alejandro Fernández, hasChild, Valentina Fernández]
Generated description
Valentina Fernández is one of the children of renowned Mexican singer Alejandro Fernández, known primarily for her connection to the famous musical Fernández family.

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_69f2247cc3d88190811dec3face94bf5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f8103cc819089e3ae3781984fdc completed May 2, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a278925c79881908688188ed32a4734 completed June 9, 2026, 3:31 a.m.
NEDg Description generation batch_6a278a5d184081908fbaf650cb44e2b7 completed June 9, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a278cda6ab8819097cd6e2f0b1124c1 completed June 9, 2026, 3:47 a.m.
Created at: April 29, 2026, 7:27 p.m.