Triple

T34835277
Position Surface form Disambiguated ID Type / Status
Subject Juan Sordo Madaleno E1004181 entity
Predicate hasChild P369 FINISHED
Object Javier Sordo Madaleno Bringas
Javier Sordo Madaleno Bringas is a Mexican architect and developer known for leading the Sordo Madaleno architectural firm and overseeing major commercial and mixed-use projects in Mexico.
E2113479 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: Javier Sordo Madaleno Bringas | Statement: [Juan Sordo Madaleno, hasChild, Javier Sordo Madaleno Bringas]
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: Javier Sordo Madaleno Bringas
Triple: [Juan Sordo Madaleno, hasChild, Javier Sordo Madaleno Bringas]
Generated description
Javier Sordo Madaleno Bringas is a Mexican architect and developer known for leading the Sordo Madaleno architectural firm and overseeing major commercial and mixed-use projects in Mexico.

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_69f76db7d1b4819093bd4912d80d845d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7810cd3a08190ac5b5f89e8fa6091 completed May 3, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fc50cf481908404d19dedf264ed completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37703823ac81908261228f65fcfa4b completed June 21, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a37716ab2c48190b7c24792201885c8 completed June 21, 2026, 5:06 a.m.
Created at: May 3, 2026, 4 p.m.