Triple

T26063815
Position Surface form Disambiguated ID Type / Status
Subject Adolfo de la Huerta E657344 entity
Predicate familyName P18 FINISHED
Object de la Huerta
de la Huerta is a Spanish-language surname most prominently associated with Adolfo de la Huerta, a Mexican politician who briefly served as president of Mexico in 1920.
 E1708415 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: de la Huerta | Statement: [Adolfo de la Huerta, familyName, de la Huerta]
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: de la Huerta
Triple: [Adolfo de la Huerta, familyName, de la Huerta]
Generated description
de la Huerta is a Spanish-language surname most prominently associated with Adolfo de la Huerta, a Mexican politician who briefly served as president of Mexico in 1920.

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_69ee5bbd788481909e22bd7153d0c037 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f606954f288190bcb77d432ed3617c completed May 2, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b27efc88190b8d908eafb866d7a completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c2770f8819089ab0ce3eb365c93 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111df51a8c8190841ee5f63b0c5633 completed May 23, 2026, 3:24 a.m.
Created at: April 26, 2026, 7:21 p.m.